Facebook building custom chips for machine learning, video quality - report-To The Moon - Tiger Brokers Online Investing Community

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Facebook building custom chips for machine learning, video quality - report

seekingalpha2021-09-09

Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning. The social-media ...

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Keez
·2021-09-14
Ok
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Like
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PYEO
·2021-09-12
Great, thank you.
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nonewiser
·2021-09-10
Steady!
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1
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Jialatsia
·2021-09-10
Meep
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1
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TaiWoeiHaur
·2021-09-10
Good morning pls like.
Reply
3
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- tungleh:
  Done
  2021-09-10
  Reply
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Andrewinho
·2021-09-10
Up n Strong!!! ??????
Reply
4
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- HuatSS:
  Yes waiting to go up also
  2021-09-11
  Reply
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来人
·2021-09-10
Nice
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3
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ToTheM00N
·2021-09-10
Like
Reply
2
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- tungleh:
  Done
  2021-09-10
  Reply
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- Gabriel林倡銘:
  Done
  2021-09-10
  Reply
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claratan
·2021-09-10
Wow ? ? ?
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1
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Ericlam
·2021-09-10
Looking good
Reply
7
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- Ericlam:
  nice
  2021-09-11
  Reply
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- SeC:
  ?
  2021-09-11
  Reply
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- Ericlam:
  nice
  2021-09-10
  Reply
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View more 2 comments
DMC8
·2021-09-10
Nice
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3
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- Ericlam:
  nice
  2021-09-10
  Reply
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nctony
·2021-09-10
Great [強]
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3
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- Ericlam:
  nice
  2021-09-10
  Reply
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Linglong8191
·2021-09-10
Like pls
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5
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- koolgal:
  ??
  2021-09-11
  Reply
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- tungleh:
  Done
  2021-09-10
  Reply
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- Money_Hunter:
  Ok
  2021-09-10
  Reply
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HL2022
·2021-09-09
Good move
Reply
5
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- Gabrielle_20:
  ?
  2021-09-09
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Jayk7
·2021-09-09
Ok
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5
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- Tygress:
  Liked
  2021-09-09
  Reply
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玉树临风英俊
·2021-09-09
?
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5
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- Ericlam:
  nice
  2021-09-10
  Reply
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LimYH
·2021-09-09
Its time to buy FB share
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4
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- Al385:
  ?
  2021-09-10
  Reply
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yinfatt
·2021-09-09
Patience and discipline is a virtue that will benefit all traders, keeping emotion and snap judgments in check.
Reply
11
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- LimYH:
  noted
  2021-09-09
  Reply
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- 玉树临风英俊:
  Ok
  2021-09-09
  Reply
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- Tiffany81:
  ok
  2021-09-09
  Reply
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View more 1 comments
ElvisLHS
·2021-09-09
Read...pls like. Thanks in advance
Reply
9
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- Holidaymood:
  Nice
  2021-09-09
  Reply
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SereneCL
·2021-09-09
Good
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7
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- Myname:
  Good
  2021-09-09
  Reply
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And development cost for the new chips is relatively small.</p>\n<p>It would also reduce Facebook's reliance on existing chip vendors, recently including <a href=\"https://laohu8.com/S/INTC\">Intel</a>(NASDAQ:INTC), <a href=\"https://laohu8.com/S/QCOM\">Qualcomm</a>(NASDAQ:QCOM)and <a href=\"https://laohu8.com/S/AVGO\">Broadcom</a>(NASDAQ:AVGO).</p>\n<p>Facebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.</p>\n<p>But Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.</p>\n<p>And it joins a powerful list, as Google (GOOG,GOOGL), <a href=\"https://laohu8.com/S/AMZN\">Amazon.com</a>(NASDAQ:AMZN)and <a href=\"https://laohu8.com/S/MSFT\">Microsoft</a>(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.</p>\n<p>Facebook edged higher in early trading.</p>\n<p><img src=\"https://static.tigerbbs.com/a5a9243d1a81822969fa253931c34983\" tg-width=\"1154\" tg-height=\"553\" width=\"100%\" height=\"auto\"></p>","source":"seekingalpha","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Facebook building custom chips for machine learning, video quality - report</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nFacebook building custom chips for machine learning, video quality - report\n</h2>\n\n<h4 class=\"meta\">\n\n\n2021-09-09 22:28 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report><strong>seekingalpha</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media ...</p>\n\n<a href=\"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{},"source_url":"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report","is_english":true,"share_image_url":"https://static.laohu8.com/5a36db9d73b4222bc376d24ccc48c8a4","article_id":"1171758120","content_text":"Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media giant is building a chip to power machine learning that it uses to recommend content to users, The Information reports, and is working on another to improve video transcoding quality. More than 100 people are working on the machine-learning chip, according to the report.\nThe goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.\nIt would also reduce Facebook's reliance on existing chip vendors, recently including Intel(NASDAQ:INTC), Qualcomm(NASDAQ:QCOM)and Broadcom(NASDAQ:AVGO).\nFacebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.\nBut Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.\nAnd it joins a powerful list, as Google (GOOG,GOOGL), Amazon.com(NASDAQ:AMZN)and Microsoft(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.\nFacebook edged higher in early trading.","news_type":1},"isVote":1,"likeStatus":false,"favoriteStatus":false,"reportStatus":false,"tweetType":1,"langContent":"EN"},{"id":881713412,"gmtCreate":1631404900436,"gmtModify":1676530540609,"author":{"id":"4088415017171770","authorId":"4088415017171770","name":"PYEO","avatar":"https://static.tigerbbs.com/ffd529f4a692f5731760183a63c10858","vip":1,"crmLevel":1,"crmLevelSwitch":0,"idStr":"4088415017171770","authorIdStr":"4088415017171770"},"htmlText":"Great, thank you.","listText":"Great, thank you.","text":"Great, thank you.","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":0,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/881713412","repostId":1171758120,"repostType":4,"repost":{"id":"1171758120","pubTimestamp":1631197714,"share":"https://ttm.financial/m/news/1171758120?lang=&edition=fundamental","pubTime":"2021-09-09 22:28","market":"us","language":"en","title":"Facebook building custom chips for machine learning, video quality - report","url":"https://stock-news.laohu8.com/highlight/detail?id=1171758120","media":"seekingalpha","summary":"Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a h","content":"<p><a href=\"https://laohu8.com/S/FB\">Facebook</a> hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.</p>\n<p>The social-media giant is building a chip to power machine learning that it uses to recommend content to users, The <a href=\"https://laohu8.com/S/III\">Information</a> reports, and is working on another to improve video transcoding quality. More than 100 people are working on the machine-learning chip, according to the report.</p>\n<p>The goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.</p>\n<p>It would also reduce Facebook's reliance on existing chip vendors, recently including <a href=\"https://laohu8.com/S/INTC\">Intel</a>(NASDAQ:INTC), <a href=\"https://laohu8.com/S/QCOM\">Qualcomm</a>(NASDAQ:QCOM)and <a href=\"https://laohu8.com/S/AVGO\">Broadcom</a>(NASDAQ:AVGO).</p>\n<p>Facebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.</p>\n<p>But Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.</p>\n<p>And it joins a powerful list, as Google (GOOG,GOOGL), <a href=\"https://laohu8.com/S/AMZN\">Amazon.com</a>(NASDAQ:AMZN)and <a href=\"https://laohu8.com/S/MSFT\">Microsoft</a>(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.</p>\n<p>Facebook edged higher in early trading.</p>\n<p><img src=\"https://static.tigerbbs.com/a5a9243d1a81822969fa253931c34983\" tg-width=\"1154\" tg-height=\"553\" width=\"100%\" height=\"auto\"></p>","source":"seekingalpha","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Facebook building custom chips for machine learning, video quality - report</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nFacebook building custom chips for machine learning, video quality - report\n</h2>\n\n<h4 class=\"meta\">\n\n\n2021-09-09 22:28 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report><strong>seekingalpha</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media ...</p>\n\n<a href=\"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{},"source_url":"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report","is_english":true,"share_image_url":"https://static.laohu8.com/5a36db9d73b4222bc376d24ccc48c8a4","article_id":"1171758120","content_text":"Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media giant is building a chip to power machine learning that it uses to recommend content to users, The Information reports, and is working on another to improve video transcoding quality. More than 100 people are working on the machine-learning chip, according to the report.\nThe goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.\nIt would also reduce Facebook's reliance on existing chip vendors, recently including Intel(NASDAQ:INTC), Qualcomm(NASDAQ:QCOM)and Broadcom(NASDAQ:AVGO).\nFacebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.\nBut Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.\nAnd it joins a powerful list, as Google (GOOG,GOOGL), Amazon.com(NASDAQ:AMZN)and Microsoft(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.\nFacebook edged higher in early trading.","news_type":1},"isVote":1,"likeStatus":false,"favoriteStatus":false,"reportStatus":false,"tweetType":1,"langContent":"EN"},{"id":883282688,"gmtCreate":1631244417544,"gmtModify":1676530507437,"author":{"id":"4092303713529060","authorId":"4092303713529060","name":"nonewiser","avatar":"https://static.tigerbbs.com/5fd9b04eb54f9084061713adead32828","vip":1,"crmLevel":1,"crmLevelSwitch":0,"idStr":"4092303713529060","authorIdStr":"4092303713529060"},"htmlText":"Steady!","listText":"Steady!","text":"Steady!","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/883282688","repostId":1171758120,"repostType":4,"repost":{"id":"1171758120","pubTimestamp":1631197714,"share":"https://ttm.financial/m/news/1171758120?lang=&edition=fundamental","pubTime":"2021-09-09 22:28","market":"us","language":"en","title":"Facebook building custom chips for machine learning, video quality - report","url":"https://stock-news.laohu8.com/highlight/detail?id=1171758120","media":"seekingalpha","summary":"Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a h","content":"<p><a href=\"https://laohu8.com/S/FB\">Facebook</a> hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.</p>\n<p>The social-media giant is building a chip to power machine learning that it uses to recommend content to users, The <a href=\"https://laohu8.com/S/III\">Information</a> reports, and is working on another to improve video transcoding quality. More than 100 people are working on the machine-learning chip, according to the report.</p>\n<p>The goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.</p>\n<p>It would also reduce Facebook's reliance on existing chip vendors, recently including <a href=\"https://laohu8.com/S/INTC\">Intel</a>(NASDAQ:INTC), <a href=\"https://laohu8.com/S/QCOM\">Qualcomm</a>(NASDAQ:QCOM)and <a href=\"https://laohu8.com/S/AVGO\">Broadcom</a>(NASDAQ:AVGO).</p>\n<p>Facebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.</p>\n<p>But Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.</p>\n<p>And it joins a powerful list, as Google (GOOG,GOOGL), <a href=\"https://laohu8.com/S/AMZN\">Amazon.com</a>(NASDAQ:AMZN)and <a href=\"https://laohu8.com/S/MSFT\">Microsoft</a>(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.</p>\n<p>Facebook edged higher in early trading.</p>\n<p><img src=\"https://static.tigerbbs.com/a5a9243d1a81822969fa253931c34983\" tg-width=\"1154\" tg-height=\"553\" width=\"100%\" height=\"auto\"></p>","source":"seekingalpha","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Facebook building custom chips for machine learning, video quality - report</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nFacebook building custom chips for machine learning, video quality - report\n</h2>\n\n<h4 class=\"meta\">\n\n\n2021-09-09 22:28 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report><strong>seekingalpha</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media ...</p>\n\n<a href=\"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{},"source_url":"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report","is_english":true,"share_image_url":"https://static.laohu8.com/5a36db9d73b4222bc376d24ccc48c8a4","article_id":"1171758120","content_text":"Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media giant is building a chip to power machine learning that it uses to recommend content to users, The Information reports, and is working on another to improve video transcoding quality. More than 100 people are working on the machine-learning chip, according to the report.\nThe goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.\nIt would also reduce Facebook's reliance on existing chip vendors, recently including Intel(NASDAQ:INTC), Qualcomm(NASDAQ:QCOM)and Broadcom(NASDAQ:AVGO).\nFacebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.\nBut Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.\nAnd it joins a powerful list, as Google (GOOG,GOOGL), Amazon.com(NASDAQ:AMZN)and Microsoft(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.\nFacebook edged higher in early trading.","news_type":1},"isVote":1,"likeStatus":false,"favoriteStatus":false,"reportStatus":false,"tweetType":1,"langContent":"EN"},{"id":883653135,"gmtCreate":1631239255827,"gmtModify":1676530505360,"author":{"id":"4087959350378170","authorId":"4087959350378170","name":"Jialatsia","avatar":"https://static.laohu8.com/default-avatar.jpg","vip":1,"crmLevel":7,"crmLevelSwitch":0,"idStr":"4087959350378170","authorIdStr":"4087959350378170"},"htmlText":"Meep","listText":"Meep","text":"Meep","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/883653135","repostId":1171758120,"repostType":4,"repost":{"id":"1171758120","pubTimestamp":1631197714,"share":"https://ttm.financial/m/news/1171758120?lang=&edition=fundamental","pubTime":"2021-09-09 22:28","market":"us","language":"en","title":"Facebook building custom chips for machine learning, video quality - report","url":"https://stock-news.laohu8.com/highlight/detail?id=1171758120","media":"seekingalpha","summary":"Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a h","content":"<p><a href=\"https://laohu8.com/S/FB\">Facebook</a> hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.</p>\n<p>The social-media giant is building a chip to power machine learning that it uses to recommend content to users, The <a href=\"https://laohu8.com/S/III\">Information</a> reports, and is working on another to improve video transcoding quality. More than 100 people are working on the machine-learning chip, according to the report.</p>\n<p>The goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.</p>\n<p>It would also reduce Facebook's reliance on existing chip vendors, recently including <a href=\"https://laohu8.com/S/INTC\">Intel</a>(NASDAQ:INTC), <a href=\"https://laohu8.com/S/QCOM\">Qualcomm</a>(NASDAQ:QCOM)and <a href=\"https://laohu8.com/S/AVGO\">Broadcom</a>(NASDAQ:AVGO).</p>\n<p>Facebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.</p>\n<p>But Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.</p>\n<p>And it joins a powerful list, as Google (GOOG,GOOGL), <a href=\"https://laohu8.com/S/AMZN\">Amazon.com</a>(NASDAQ:AMZN)and <a href=\"https://laohu8.com/S/MSFT\">Microsoft</a>(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.</p>\n<p>Facebook edged higher in early trading.</p>\n<p><img src=\"https://static.tigerbbs.com/a5a9243d1a81822969fa253931c34983\" tg-width=\"1154\" tg-height=\"553\" width=\"100%\" height=\"auto\"></p>","source":"seekingalpha","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Facebook building custom chips for machine learning, video quality - report</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nFacebook building custom chips for machine learning, video quality - report\n</h2>\n\n<h4 class=\"meta\">\n\n\n2021-09-09 22:28 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report><strong>seekingalpha</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media ...</p>\n\n<a href=\"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{},"source_url":"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report","is_english":true,"share_image_url":"https://static.laohu8.com/5a36db9d73b4222bc376d24ccc48c8a4","article_id":"1171758120","content_text":"Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media giant is building a chip to power machine learning that it uses to recommend content to users, The Information reports, and is working on another to improve video transcoding quality. More than 100 people are working on the machine-learning chip, according to the report.\nThe goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.\nIt would also reduce Facebook's reliance on existing chip vendors, recently including Intel(NASDAQ:INTC), Qualcomm(NASDAQ:QCOM)and Broadcom(NASDAQ:AVGO).\nFacebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.\nBut Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.\nAnd it joins a powerful list, as Google (GOOG,GOOGL), Amazon.com(NASDAQ:AMZN)and Microsoft(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.\nFacebook edged higher in early trading.","news_type":1},"isVote":1,"likeStatus":false,"favoriteStatus":false,"reportStatus":false,"tweetType":1,"langContent":"EN"},{"id":883835723,"gmtCreate":1631232031662,"gmtModify":1676530501548,"author":{"id":"3563667765668803","authorId":"3563667765668803","name":"TaiWoeiHaur","avatar":"https://community-static.tradeup.com/news/4573ecee7a4a891ace3e5566a59069d5","vip":1,"crmLevel":5,"crmLevelSwitch":1,"idStr":"3563667765668803","authorIdStr":"3563667765668803"},"htmlText":"Good morning pls like.&nbsp;","listText":"Good morning pls like.&nbsp;","text":"Good morning pls like.","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":3,"commentSize":1,"repostSize":0,"link":"https://ttm.financial/post/883835723","repostId":1171758120,"repostType":4,"repost":{"id":"1171758120","pubTimestamp":1631197714,"share":"https://ttm.financial/m/news/1171758120?lang=&edition=fundamental","pubTime":"2021-09-09 22:28","market":"us","language":"en","title":"Facebook building custom chips for machine learning, video quality - report","url":"https://stock-news.laohu8.com/highlight/detail?id=1171758120","media":"seekingalpha","summary":"Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a h","content":"<p><a href=\"https://laohu8.com/S/FB\">Facebook</a> hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.</p>\n<p>The social-media giant is building a chip to power machine learning that it uses to recommend content to users, The <a href=\"https://laohu8.com/S/III\">Information</a> reports, and is working on another to improve video transcoding quality. More than 100 people are working on the machine-learning chip, according to the report.</p>\n<p>The goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.</p>\n<p>It would also reduce Facebook's reliance on existing chip vendors, recently including <a href=\"https://laohu8.com/S/INTC\">Intel</a>(NASDAQ:INTC), <a href=\"https://laohu8.com/S/QCOM\">Qualcomm</a>(NASDAQ:QCOM)and <a href=\"https://laohu8.com/S/AVGO\">Broadcom</a>(NASDAQ:AVGO).</p>\n<p>Facebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.</p>\n<p>But Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.</p>\n<p>And it joins a powerful list, as Google (GOOG,GOOGL), <a href=\"https://laohu8.com/S/AMZN\">Amazon.com</a>(NASDAQ:AMZN)and <a href=\"https://laohu8.com/S/MSFT\">Microsoft</a>(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.</p>\n<p>Facebook edged higher in early trading.</p>\n<p><img src=\"https://static.tigerbbs.com/a5a9243d1a81822969fa253931c34983\" tg-width=\"1154\" tg-height=\"553\" width=\"100%\" height=\"auto\"></p>","source":"seekingalpha","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Facebook building custom chips for machine learning, video quality - report</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nFacebook building custom chips for machine learning, video quality - report\n</h2>\n\n<h4 class=\"meta\">\n\n\n2021-09-09 22:28 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report><strong>seekingalpha</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media ...</p>\n\n<a href=\"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{},"source_url":"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report","is_english":true,"share_image_url":"https://static.laohu8.com/5a36db9d73b4222bc376d24ccc48c8a4","article_id":"1171758120","content_text":"Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media giant is building a chip to power machine learning that it uses to recommend content to users, The Information reports, and is working on another to improve video transcoding quality. More than 100 people are working on the machine-learning chip, according to the report.\nThe goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.\nIt would also reduce Facebook's reliance on existing chip vendors, recently including Intel(NASDAQ:INTC), Qualcomm(NASDAQ:QCOM)and Broadcom(NASDAQ:AVGO).\nFacebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.\nBut Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.\nAnd it joins a powerful list, as Google (GOOG,GOOGL), Amazon.com(NASDAQ:AMZN)and Microsoft(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.\nFacebook edged higher in early trading.","news_type":1},"isVote":1,"likeStatus":false,"favoriteStatus":false,"reportStatus":false,"tweetType":1,"comments":[{"id":5812120,"gmtCreate":1631233313000,"gmtModify":1663233641646,"authorId":3581840130059040,"author":{"id":3581840130059040,"idStr":"3581840130059040","authorId":3581840130059040,"name":"tungleh","avatar":"https://static.itradeup.com/news/e7cd8f0c265e9dabe49dea7b97ffe6b9","vip":1,"currentWearingBadge":{"badgeId":"a83d7582f45846ffbccbce770ce65d84-1","templateUuid":"a83d7582f45846ffbccbce770ce65d84","name":"Real Trader","description":"Completed a transaction","bigImgUrl":"https://static.tigerbbs.com/2e08a1cc2087a1de93402c2c290fa65b","smallImgUrl":"https://static.tigerbbs.com/4504a6397ce1137932d56e5f4ce27166","grayImgUrl":"https://static.tigerbbs.com/4b22c79415b4cd6e3d8ebc4a0fa32604","redirectLinkEnabled":0,"hasAllocated":1,"isWearing":1,"stampPosition":0,"hasStamp":0,"allocationCount":1,"allocatedDate":"2021.12.21","individualDisplayEnabled":0,"individualDisplaySort":0,"categoryType":1100},"crmLevel":2,"crmLevelSwitch":1,"individualDisplayBadges":[]},"repliedAuthorId":0,"objectId":883835723,"type":1,"supId":0,"prevId":0,"content":"Done","text":"Done","html":"Done"}],"langContent":"EN"},{"id":883171853,"gmtCreate":1631230385872,"gmtModify":1676530500467,"author":{"id":"3581563418944392","authorId":"3581563418944392","name":"Andrewinho","avatar":"https://static.tigerbbs.com/3127e2bc40ab23064a5187a00a63e19b","vip":1,"crmLevel":2,"crmLevelSwitch":0,"idStr":"3581563418944392","authorIdStr":"3581563418944392"},"htmlText":"Up n Strong!!! ??????","listText":"Up n Strong!!! ??????","text":"Up n Strong!!! ??????","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":4,"commentSize":1,"repostSize":0,"link":"https://ttm.financial/post/883171853","repostId":1171758120,"repostType":4,"repost":{"id":"1171758120","pubTimestamp":1631197714,"share":"https://ttm.financial/m/news/1171758120?lang=&edition=fundamental","pubTime":"2021-09-09 22:28","market":"us","language":"en","title":"Facebook building custom chips for machine learning, video quality - report","url":"https://stock-news.laohu8.com/highlight/detail?id=1171758120","media":"seekingalpha","summary":"Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a h","content":"<p><a href=\"https://laohu8.com/S/FB\">Facebook</a> hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.</p>\n<p>The social-media giant is building a chip to power machine learning that it uses to recommend content to users, The <a href=\"https://laohu8.com/S/III\">Information</a> reports, and is working on another to improve video transcoding quality. More than 100 people are working on the machine-learning chip, according to the report.</p>\n<p>The goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.</p>\n<p>It would also reduce Facebook's reliance on existing chip vendors, recently including <a href=\"https://laohu8.com/S/INTC\">Intel</a>(NASDAQ:INTC), <a href=\"https://laohu8.com/S/QCOM\">Qualcomm</a>(NASDAQ:QCOM)and <a href=\"https://laohu8.com/S/AVGO\">Broadcom</a>(NASDAQ:AVGO).</p>\n<p>Facebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.</p>\n<p>But Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.</p>\n<p>And it joins a powerful list, as Google (GOOG,GOOGL), <a href=\"https://laohu8.com/S/AMZN\">Amazon.com</a>(NASDAQ:AMZN)and <a href=\"https://laohu8.com/S/MSFT\">Microsoft</a>(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.</p>\n<p>Facebook edged higher in early trading.</p>\n<p><img src=\"https://static.tigerbbs.com/a5a9243d1a81822969fa253931c34983\" tg-width=\"1154\" tg-height=\"553\" width=\"100%\" height=\"auto\"></p>","source":"seekingalpha","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Facebook building custom chips for machine learning, video quality - report</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nFacebook building custom chips for machine learning, video quality - report\n</h2>\n\n<h4 class=\"meta\">\n\n\n2021-09-09 22:28 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report><strong>seekingalpha</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media ...</p>\n\n<a href=\"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{},"source_url":"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report","is_english":true,"share_image_url":"https://static.laohu8.com/5a36db9d73b4222bc376d24ccc48c8a4","article_id":"1171758120","content_text":"Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media giant is building a chip to power machine learning that it uses to recommend content to users, The Information reports, and is working on another to improve video transcoding quality. More than 100 people are working on the machine-learning chip, according to the report.\nThe goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.\nIt would also reduce Facebook's reliance on existing chip vendors, recently including Intel(NASDAQ:INTC), Qualcomm(NASDAQ:QCOM)and Broadcom(NASDAQ:AVGO).\nFacebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.\nBut Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.\nAnd it joins a powerful list, as Google (GOOG,GOOGL), Amazon.com(NASDAQ:AMZN)and Microsoft(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.\nFacebook edged higher in early trading.","news_type":1},"isVote":1,"likeStatus":false,"favoriteStatus":false,"reportStatus":false,"tweetType":1,"comments":[{"id":5827418,"gmtCreate":1631326955948,"gmtModify":1631891844942,"authorId":3583977784901644,"author":{"id":3583977784901644,"idStr":"3583977784901644","authorId":3583977784901644,"name":"HuatSS","avatar":"https://static.tigerbbs.com/d62ef528222c2647f345d747368a7eac","vip":1,"currentWearingBadge":{"badgeId":"1026c425416b44e0aac28c11a0848493-2","templateUuid":"1026c425416b44e0aac28c11a0848493","name":"Senior Tiger","description":"Join the tiger community for 1000 days","bigImgUrl":"https://static.tigerbbs.com/0063fb68ea29c9ae6858c58630e182d5","smallImgUrl":"https://static.tigerbbs.com/96c699a93be4214d4b49aea6a5a5d1a4","grayImgUrl":"https://static.tigerbbs.com/35b0e542a9ff77046ed69ef602bc105d","redirectLinkEnabled":0,"hasAllocated":1,"isWearing":1,"stampPosition":0,"hasStamp":0,"allocationCount":1,"allocatedDate":"2024.02.08","individualDisplayEnabled":0,"individualDisplaySort":0,"categoryType":1001},"crmLevel":3,"crmLevelSwitch":0,"individualDisplayBadges":[]},"repliedAuthorId":0,"objectId":883171853,"type":1,"supId":0,"prevId":0,"content":"Yes waiting to go up also","text":"Yes waiting to go up also","html":"Yes waiting to go up also"}],"langContent":"EN"},{"id":883162564,"gmtCreate":1631227939558,"gmtModify":1676530499525,"author":{"id":"3575544575320394","authorId":"3575544575320394","name":"来人","avatar":"https://static.tigerbbs.com/0af89587decbb8a1d3e1596adc29cb98","vip":1,"crmLevel":6,"crmLevelSwitch":0,"idStr":"3575544575320394","authorIdStr":"3575544575320394"},"htmlText":"Nice","listText":"Nice","text":"Nice","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":3,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/883162564","repostId":1171758120,"repostType":4,"repost":{"id":"1171758120","pubTimestamp":1631197714,"share":"https://ttm.financial/m/news/1171758120?lang=&edition=fundamental","pubTime":"2021-09-09 22:28","market":"us","language":"en","title":"Facebook building custom chips for machine learning, video quality - report","url":"https://stock-news.laohu8.com/highlight/detail?id=1171758120","media":"seekingalpha","summary":"Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a h","content":"<p><a href=\"https://laohu8.com/S/FB\">Facebook</a> hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.</p>\n<p>The social-media giant is building a chip to power machine learning that it uses to recommend content to users, The <a href=\"https://laohu8.com/S/III\">Information</a> reports, and is working on another to improve video transcoding quality. More than 100 people are working on the machine-learning chip, according to the report.</p>\n<p>The goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.</p>\n<p>It would also reduce Facebook's reliance on existing chip vendors, recently including <a href=\"https://laohu8.com/S/INTC\">Intel</a>(NASDAQ:INTC), <a href=\"https://laohu8.com/S/QCOM\">Qualcomm</a>(NASDAQ:QCOM)and <a href=\"https://laohu8.com/S/AVGO\">Broadcom</a>(NASDAQ:AVGO).</p>\n<p>Facebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.</p>\n<p>But Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.</p>\n<p>And it joins a powerful list, as Google (GOOG,GOOGL), <a href=\"https://laohu8.com/S/AMZN\">Amazon.com</a>(NASDAQ:AMZN)and <a href=\"https://laohu8.com/S/MSFT\">Microsoft</a>(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.</p>\n<p>Facebook edged higher in early trading.</p>\n<p><img src=\"https://static.tigerbbs.com/a5a9243d1a81822969fa253931c34983\" tg-width=\"1154\" tg-height=\"553\" width=\"100%\" height=\"auto\"></p>","source":"seekingalpha","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Facebook building custom chips for machine learning, video quality - report</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nFacebook building custom chips for machine learning, video quality - report\n</h2>\n\n<h4 class=\"meta\">\n\n\n2021-09-09 22:28 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report><strong>seekingalpha</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media ...</p>\n\n<a href=\"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{},"source_url":"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report","is_english":true,"share_image_url":"https://static.laohu8.com/5a36db9d73b4222bc376d24ccc48c8a4","article_id":"1171758120","content_text":"Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media giant is building a chip to power machine learning that it uses to recommend content to users, The Information reports, and is working on another to improve video transcoding quality. More than 100 people are working on the machine-learning chip, according to the report.\nThe goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.\nIt would also reduce Facebook's reliance on existing chip vendors, recently including Intel(NASDAQ:INTC), Qualcomm(NASDAQ:QCOM)and Broadcom(NASDAQ:AVGO).\nFacebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.\nBut Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.\nAnd it joins a powerful list, as Google (GOOG,GOOGL), Amazon.com(NASDAQ:AMZN)and Microsoft(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.\nFacebook edged higher in early trading.","news_type":1},"isVote":1,"likeStatus":false,"favoriteStatus":false,"reportStatus":false,"tweetType":1,"langContent":"EN"},{"id":883160003,"gmtCreate":1631227189302,"gmtModify":1676530499366,"author":{"id":"3581730511233431","authorId":"3581730511233431","name":"ToTheM00N","avatar":"https://static.tigerbbs.com/7b77b689650adddd8a8560dc89fcb930","vip":1,"crmLevel":3,"crmLevelSwitch":0,"idStr":"3581730511233431","authorIdStr":"3581730511233431"},"htmlText":"Like","listText":"Like","text":"Like","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":2,"commentSize":2,"repostSize":0,"link":"https://ttm.financial/post/883160003","repostId":1171758120,"repostType":4,"repost":{"id":"1171758120","pubTimestamp":1631197714,"share":"https://ttm.financial/m/news/1171758120?lang=&edition=fundamental","pubTime":"2021-09-09 22:28","market":"us","language":"en","title":"Facebook building custom chips for machine learning, video quality - report","url":"https://stock-news.laohu8.com/highlight/detail?id=1171758120","media":"seekingalpha","summary":"Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a h","content":"<p><a href=\"https://laohu8.com/S/FB\">Facebook</a> hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.</p>\n<p>The social-media giant is building a chip to power machine learning that it uses to recommend content to users, The <a href=\"https://laohu8.com/S/III\">Information</a> reports, and is working on another to improve video transcoding quality. More than 100 people are working on the machine-learning chip, according to the report.</p>\n<p>The goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.</p>\n<p>It would also reduce Facebook's reliance on existing chip vendors, recently including <a href=\"https://laohu8.com/S/INTC\">Intel</a>(NASDAQ:INTC), <a href=\"https://laohu8.com/S/QCOM\">Qualcomm</a>(NASDAQ:QCOM)and <a href=\"https://laohu8.com/S/AVGO\">Broadcom</a>(NASDAQ:AVGO).</p>\n<p>Facebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.</p>\n<p>But Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.</p>\n<p>And it joins a powerful list, as Google (GOOG,GOOGL), <a href=\"https://laohu8.com/S/AMZN\">Amazon.com</a>(NASDAQ:AMZN)and <a href=\"https://laohu8.com/S/MSFT\">Microsoft</a>(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.</p>\n<p>Facebook edged higher in early trading.</p>\n<p><img src=\"https://static.tigerbbs.com/a5a9243d1a81822969fa253931c34983\" tg-width=\"1154\" tg-height=\"553\" width=\"100%\" height=\"auto\"></p>","source":"seekingalpha","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Facebook building custom chips for machine learning, video quality - report</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nFacebook building custom chips for machine learning, video quality - report\n</h2>\n\n<h4 class=\"meta\">\n\n\n2021-09-09 22:28 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report><strong>seekingalpha</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media ...</p>\n\n<a href=\"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{},"source_url":"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report","is_english":true,"share_image_url":"https://static.laohu8.com/5a36db9d73b4222bc376d24ccc48c8a4","article_id":"1171758120","content_text":"Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media giant is building a chip to power machine learning that it uses to recommend content to users, The Information reports, and is working on another to improve video transcoding quality. More than 100 people are working on the machine-learning chip, according to the report.\nThe goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.\nIt would also reduce Facebook's reliance on existing chip vendors, recently including Intel(NASDAQ:INTC), Qualcomm(NASDAQ:QCOM)and Broadcom(NASDAQ:AVGO).\nFacebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.\nBut Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.\nAnd it joins a powerful list, as Google (GOOG,GOOGL), Amazon.com(NASDAQ:AMZN)and Microsoft(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.\nFacebook edged higher in early trading.","news_type":1},"isVote":1,"likeStatus":false,"favoriteStatus":false,"reportStatus":false,"tweetType":1,"comments":[{"id":5812127,"gmtCreate":1631233325754,"gmtModify":1663233642949,"authorId":3581840130059040,"author":{"id":3581840130059040,"idStr":"3581840130059040","authorId":3581840130059040,"name":"tungleh","avatar":"https://static.itradeup.com/news/e7cd8f0c265e9dabe49dea7b97ffe6b9","vip":1,"currentWearingBadge":{"badgeId":"a83d7582f45846ffbccbce770ce65d84-1","templateUuid":"a83d7582f45846ffbccbce770ce65d84","name":"Real Trader","description":"Completed a transaction","bigImgUrl":"https://static.tigerbbs.com/2e08a1cc2087a1de93402c2c290fa65b","smallImgUrl":"https://static.tigerbbs.com/4504a6397ce1137932d56e5f4ce27166","grayImgUrl":"https://static.tigerbbs.com/4b22c79415b4cd6e3d8ebc4a0fa32604","redirectLinkEnabled":0,"hasAllocated":1,"isWearing":1,"stampPosition":0,"hasStamp":0,"allocationCount":1,"allocatedDate":"2021.12.21","individualDisplayEnabled":0,"individualDisplaySort":0,"categoryType":1100},"crmLevel":2,"crmLevelSwitch":1,"individualDisplayBadges":[]},"repliedAuthorId":0,"objectId":883160003,"type":1,"supId":0,"prevId":0,"content":"<u>Done</u>","text":"<u>Done</u>","html":"<u>Done</u>"},{"id":5810645,"gmtCreate":1631227878939,"gmtModify":1663233632732,"authorId":3575234021908444,"author":{"id":3575234021908444,"idStr":"3575234021908444","authorId":3575234021908444,"name":"Gabriel林倡銘","avatar":"https://community-static.tradeup.com/news/5f79fe34fb45208de204a36457e2a3d7","vip":1,"currentWearingBadge":{"badgeId":"7a9f168ff73447fe856ed6c938b61789-1","templateUuid":"7a9f168ff73447fe856ed6c938b61789","name":"Knowledgeable Investor","description":"Traded more than 10 stocks","bigImgUrl":"https://static.tigerbbs.com/e74cc24115c4fbae6154ec1b1041bf47","smallImgUrl":"https://static.tigerbbs.com/d48265cbfd97c57f9048db29f22227b0","grayImgUrl":"https://static.tigerbbs.com/76c6d6898b073c77e1c537ebe9ac1c57","redirectLinkEnabled":0,"hasAllocated":1,"isWearing":1,"stampPosition":0,"hasStamp":0,"allocationCount":1,"allocatedDate":"2021.12.21","individualDisplayEnabled":0,"individualDisplaySort":0,"categoryType":1102},"crmLevel":2,"crmLevelSwitch":0,"individualDisplayBadges":[]},"repliedAuthorId":0,"objectId":883160003,"type":1,"supId":0,"prevId":0,"content":"Done ","text":"Done ","html":"Done "}],"langContent":"EN"},{"id":883187023,"gmtCreate":1631227132062,"gmtModify":1676530499343,"author":{"id":"3573731928321338","authorId":"3573731928321338","name":"claratan","avatar":"https://static.tigerbbs.com/9c6bbdac9048ff2e4b740f272576e2be","vip":1,"crmLevel":4,"crmLevelSwitch":0,"idStr":"3573731928321338","authorIdStr":"3573731928321338"},"htmlText":"Wow ? ? ?&nbsp;","listText":"Wow ? ? ?&nbsp;","text":"Wow ? ? ?","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/883187023","repostId":1171758120,"repostType":4,"repost":{"id":"1171758120","pubTimestamp":1631197714,"share":"https://ttm.financial/m/news/1171758120?lang=&edition=fundamental","pubTime":"2021-09-09 22:28","market":"us","language":"en","title":"Facebook building custom chips for machine learning, video quality - report","url":"https://stock-news.laohu8.com/highlight/detail?id=1171758120","media":"seekingalpha","summary":"Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a h","content":"<p><a href=\"https://laohu8.com/S/FB\">Facebook</a> hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.</p>\n<p>The social-media giant is building a chip to power machine learning that it uses to recommend content to users, The <a href=\"https://laohu8.com/S/III\">Information</a> reports, and is working on another to improve video transcoding quality. More than 100 people are working on the machine-learning chip, according to the report.</p>\n<p>The goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.</p>\n<p>It would also reduce Facebook's reliance on existing chip vendors, recently including <a href=\"https://laohu8.com/S/INTC\">Intel</a>(NASDAQ:INTC), <a href=\"https://laohu8.com/S/QCOM\">Qualcomm</a>(NASDAQ:QCOM)and <a href=\"https://laohu8.com/S/AVGO\">Broadcom</a>(NASDAQ:AVGO).</p>\n<p>Facebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.</p>\n<p>But Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.</p>\n<p>And it joins a powerful list, as Google (GOOG,GOOGL), <a href=\"https://laohu8.com/S/AMZN\">Amazon.com</a>(NASDAQ:AMZN)and <a href=\"https://laohu8.com/S/MSFT\">Microsoft</a>(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.</p>\n<p>Facebook edged higher in early trading.</p>\n<p><img src=\"https://static.tigerbbs.com/a5a9243d1a81822969fa253931c34983\" tg-width=\"1154\" tg-height=\"553\" width=\"100%\" height=\"auto\"></p>","source":"seekingalpha","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Facebook building custom chips for machine learning, video quality - report</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nFacebook building custom chips for machine learning, video quality - report\n</h2>\n\n<h4 class=\"meta\">\n\n\n2021-09-09 22:28 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report><strong>seekingalpha</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media ...</p>\n\n<a href=\"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{},"source_url":"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report","is_english":true,"share_image_url":"https://static.laohu8.com/5a36db9d73b4222bc376d24ccc48c8a4","article_id":"1171758120","content_text":"Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media giant is building a chip to power machine learning that it uses to recommend content to users, The Information reports, and is working on another to improve video transcoding quality. More than 100 people are working on the machine-learning chip, according to the report.\nThe goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.\nIt would also reduce Facebook's reliance on existing chip vendors, recently including Intel(NASDAQ:INTC), Qualcomm(NASDAQ:QCOM)and Broadcom(NASDAQ:AVGO).\nFacebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.\nBut Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.\nAnd it joins a powerful list, as Google (GOOG,GOOGL), Amazon.com(NASDAQ:AMZN)and Microsoft(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.\nFacebook edged higher in early trading.","news_type":1},"isVote":1,"likeStatus":false,"favoriteStatus":false,"reportStatus":false,"tweetType":1,"langContent":"EN"},{"id":883112962,"gmtCreate":1631225771556,"gmtModify":1676530498882,"author":{"id":"3559787818034959","authorId":"3559787818034959","name":"Ericlam","avatar":"https://static.tigerbbs.com/f2154f4bb8afd22f8e6fde60b57acb69","vip":1,"hat":"https://static.tigerbbs.com/b0a2963eb37c60c5d6d4a8dbcd266952","crmLevel":7,"crmLevelSwitch":1,"idStr":"3559787818034959","authorIdStr":"3559787818034959"},"htmlText":"Looking good&nbsp;","listText":"Looking good&nbsp;","text":"Looking good","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":7,"commentSize":5,"repostSize":0,"link":"https://ttm.financial/post/883112962","repostId":1171758120,"repostType":4,"repost":{"id":"1171758120","pubTimestamp":1631197714,"share":"https://ttm.financial/m/news/1171758120?lang=&edition=fundamental","pubTime":"2021-09-09 22:28","market":"us","language":"en","title":"Facebook building custom chips for machine learning, video quality - report","url":"https://stock-news.laohu8.com/highlight/detail?id=1171758120","media":"seekingalpha","summary":"Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a h","content":"<p><a href=\"https://laohu8.com/S/FB\">Facebook</a> hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.</p>\n<p>The social-media giant is building a chip to power machine learning that it uses to recommend content to users, The <a href=\"https://laohu8.com/S/III\">Information</a> reports, and is working on another to improve video transcoding quality. More than 100 people are working on the machine-learning chip, according to the report.</p>\n<p>The goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.</p>\n<p>It would also reduce Facebook's reliance on existing chip vendors, recently including <a href=\"https://laohu8.com/S/INTC\">Intel</a>(NASDAQ:INTC), <a href=\"https://laohu8.com/S/QCOM\">Qualcomm</a>(NASDAQ:QCOM)and <a href=\"https://laohu8.com/S/AVGO\">Broadcom</a>(NASDAQ:AVGO).</p>\n<p>Facebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.</p>\n<p>But Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.</p>\n<p>And it joins a powerful list, as Google (GOOG,GOOGL), <a href=\"https://laohu8.com/S/AMZN\">Amazon.com</a>(NASDAQ:AMZN)and <a href=\"https://laohu8.com/S/MSFT\">Microsoft</a>(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.</p>\n<p>Facebook edged higher in early trading.</p>\n<p><img src=\"https://static.tigerbbs.com/a5a9243d1a81822969fa253931c34983\" tg-width=\"1154\" tg-height=\"553\" width=\"100%\" height=\"auto\"></p>","source":"seekingalpha","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Facebook building custom chips for machine learning, video quality - report</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nFacebook building custom chips for machine learning, video quality - report\n</h2>\n\n<h4 class=\"meta\">\n\n\n2021-09-09 22:28 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report><strong>seekingalpha</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media ...</p>\n\n<a href=\"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{},"source_url":"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report","is_english":true,"share_image_url":"https://static.laohu8.com/5a36db9d73b4222bc376d24ccc48c8a4","article_id":"1171758120","content_text":"Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media giant is building a chip to power machine learning that it uses to recommend content to users, The Information reports, and is working on another to improve video transcoding quality. More than 100 people are working on the machine-learning chip, according to the report.\nThe goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.\nIt would also reduce Facebook's reliance on existing chip vendors, recently including Intel(NASDAQ:INTC), Qualcomm(NASDAQ:QCOM)and Broadcom(NASDAQ:AVGO).\nFacebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.\nBut Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.\nAnd it joins a powerful list, as Google (GOOG,GOOGL), Amazon.com(NASDAQ:AMZN)and Microsoft(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.\nFacebook edged higher in early trading.","news_type":1},"isVote":1,"likeStatus":false,"favoriteStatus":false,"reportStatus":false,"tweetType":1,"comments":[{"id":5832271,"gmtCreate":1631362626281,"gmtModify":1663233729145,"authorId":3559787818034959,"author":{"id":3559787818034959,"idStr":"3559787818034959","authorId":3559787818034959,"name":"Ericlam","avatar":"https://static.tigerbbs.com/f2154f4bb8afd22f8e6fde60b57acb69","vip":1,"currentWearingBadge":{"badgeId":"1026c425416b44e0aac28c11a0848493-3","templateUuid":"1026c425416b44e0aac28c11a0848493","name":" Tiger Idol","description":"Join the tiger community for 1500 days","bigImgUrl":"https://static.tigerbbs.com/8b40ae7da5bf081a1c84df14bf9e6367","smallImgUrl":"https://static.tigerbbs.com/f160eceddd7c284a8e1136557615cfad","grayImgUrl":"https://static.tigerbbs.com/11792805c468334a9b31c39f95a41c6a","redirectLinkEnabled":0,"hasAllocated":1,"isWearing":1,"stampPosition":0,"hasStamp":0,"allocationCount":1,"allocatedDate":"2024.09.15","individualDisplayEnabled":0,"individualDisplaySort":0,"categoryType":1001},"crmLevel":7,"crmLevelSwitch":1,"individualDisplayBadges":[]},"repliedAuthorId":0,"objectId":883112962,"type":1,"supId":5829951,"prevId":0,"content":"nice","text":"nice","html":"nice"},{"id":5829951,"gmtCreate":1631341556900,"gmtModify":1663233718526,"authorId":3582371848241817,"author":{"id":3582371848241817,"idStr":"3582371848241817","authorId":3582371848241817,"name":"SeC","avatar":"https://static.tigerbbs.com/a226cf90d6854e9178341c90697ce373","vip":1,"crmLevel":2,"crmLevelSwitch":0,"individualDisplayBadges":[]},"repliedAuthorId":0,"objectId":883112962,"type":1,"supId":0,"prevId":0,"content":"?","text":"?","html":"?"},{"id":5812238,"gmtCreate":1631233666758,"gmtModify":1663233643150,"authorId":3559787818034959,"author":{"id":3559787818034959,"idStr":"3559787818034959","authorId":3559787818034959,"name":"Ericlam","avatar":"https://static.tigerbbs.com/f2154f4bb8afd22f8e6fde60b57acb69","vip":1,"currentWearingBadge":{"badgeId":"1026c425416b44e0aac28c11a0848493-3","templateUuid":"1026c425416b44e0aac28c11a0848493","name":" 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22:28","market":"us","language":"en","title":"Facebook building custom chips for machine learning, video quality - report","url":"https://stock-news.laohu8.com/highlight/detail?id=1171758120","media":"seekingalpha","summary":"Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a h","content":"<p><a href=\"https://laohu8.com/S/FB\">Facebook</a> hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.</p>\n<p>The social-media giant is building a chip to power machine learning that it uses to recommend content to users, The <a href=\"https://laohu8.com/S/III\">Information</a> reports, and is working on another to improve video transcoding quality. More than 100 people are working on the machine-learning chip, according to the report.</p>\n<p>The goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.</p>\n<p>It would also reduce Facebook's reliance on existing chip vendors, recently including <a href=\"https://laohu8.com/S/INTC\">Intel</a>(NASDAQ:INTC), <a href=\"https://laohu8.com/S/QCOM\">Qualcomm</a>(NASDAQ:QCOM)and <a href=\"https://laohu8.com/S/AVGO\">Broadcom</a>(NASDAQ:AVGO).</p>\n<p>Facebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.</p>\n<p>But Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.</p>\n<p>And it joins a powerful list, as Google (GOOG,GOOGL), <a href=\"https://laohu8.com/S/AMZN\">Amazon.com</a>(NASDAQ:AMZN)and <a href=\"https://laohu8.com/S/MSFT\">Microsoft</a>(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.</p>\n<p>Facebook edged higher in early trading.</p>\n<p><img src=\"https://static.tigerbbs.com/a5a9243d1a81822969fa253931c34983\" tg-width=\"1154\" tg-height=\"553\" width=\"100%\" height=\"auto\"></p>","source":"seekingalpha","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Facebook building custom chips for machine learning, video quality - report</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nFacebook building custom chips for machine learning, video quality - report\n</h2>\n\n<h4 class=\"meta\">\n\n\n2021-09-09 22:28 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report><strong>seekingalpha</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media ...</p>\n\n<a href=\"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{},"source_url":"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report","is_english":true,"share_image_url":"https://static.laohu8.com/5a36db9d73b4222bc376d24ccc48c8a4","article_id":"1171758120","content_text":"Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media giant is building a chip to power machine learning that it uses to recommend content to users, The Information reports, and is working on another to improve video transcoding quality. More than 100 people are working on the machine-learning chip, according to the report.\nThe goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.\nIt would also reduce Facebook's reliance on existing chip vendors, recently including Intel(NASDAQ:INTC), Qualcomm(NASDAQ:QCOM)and Broadcom(NASDAQ:AVGO).\nFacebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.\nBut Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.\nAnd it joins a powerful list, as Google (GOOG,GOOGL), Amazon.com(NASDAQ:AMZN)and Microsoft(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.\nFacebook edged higher in early trading.","news_type":1},"isVote":1,"likeStatus":false,"favoriteStatus":false,"reportStatus":false,"tweetType":1,"comments":[{"id":5810345,"gmtCreate":1631225780147,"gmtModify":1663233632626,"authorId":3559787818034959,"author":{"id":3559787818034959,"idStr":"3559787818034959","authorId":3559787818034959,"name":"Ericlam","avatar":"https://static.tigerbbs.com/f2154f4bb8afd22f8e6fde60b57acb69","vip":1,"currentWearingBadge":{"badgeId":"1026c425416b44e0aac28c11a0848493-3","templateUuid":"1026c425416b44e0aac28c11a0848493","name":" Tiger Idol","description":"Join the tiger community for 1500 days","bigImgUrl":"https://static.tigerbbs.com/8b40ae7da5bf081a1c84df14bf9e6367","smallImgUrl":"https://static.tigerbbs.com/f160eceddd7c284a8e1136557615cfad","grayImgUrl":"https://static.tigerbbs.com/11792805c468334a9b31c39f95a41c6a","redirectLinkEnabled":0,"hasAllocated":1,"isWearing":1,"stampPosition":0,"hasStamp":0,"allocationCount":1,"allocatedDate":"2024.09.15","individualDisplayEnabled":0,"individualDisplaySort":0,"categoryType":1001},"crmLevel":7,"crmLevelSwitch":1,"individualDisplayBadges":[]},"repliedAuthorId":0,"objectId":883196414,"type":1,"supId":0,"prevId":0,"content":"nice","text":"nice","html":"nice"}],"langContent":"EN"},{"id":883196342,"gmtCreate":1631222252286,"gmtModify":1676530498413,"author":{"id":"3557024931927052","authorId":"3557024931927052","name":"nctony","avatar":"https://static.tigerbbs.com/1449dfc5089ded0e8efe303fd4dd43b1","vip":1,"crmLevel":2,"crmLevelSwitch":1,"idStr":"3557024931927052","authorIdStr":"3557024931927052"},"htmlText":"Great&nbsp;[強]&nbsp;","listText":"Great&nbsp;[強]&nbsp;","text":"Great [強]","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":3,"commentSize":1,"repostSize":0,"link":"https://ttm.financial/post/883196342","repostId":1171758120,"repostType":4,"repost":{"id":"1171758120","pubTimestamp":1631197714,"share":"https://ttm.financial/m/news/1171758120?lang=&edition=fundamental","pubTime":"2021-09-09 22:28","market":"us","language":"en","title":"Facebook building custom chips for machine learning, video quality - report","url":"https://stock-news.laohu8.com/highlight/detail?id=1171758120","media":"seekingalpha","summary":"Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a h","content":"<p><a href=\"https://laohu8.com/S/FB\">Facebook</a> hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.</p>\n<p>The social-media giant is building a chip to power machine learning that it uses to recommend content to users, The <a href=\"https://laohu8.com/S/III\">Information</a> reports, and is working on another to improve video transcoding quality. More than 100 people are working on the machine-learning chip, according to the report.</p>\n<p>The goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.</p>\n<p>It would also reduce Facebook's reliance on existing chip vendors, recently including <a href=\"https://laohu8.com/S/INTC\">Intel</a>(NASDAQ:INTC), <a href=\"https://laohu8.com/S/QCOM\">Qualcomm</a>(NASDAQ:QCOM)and <a href=\"https://laohu8.com/S/AVGO\">Broadcom</a>(NASDAQ:AVGO).</p>\n<p>Facebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.</p>\n<p>But Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.</p>\n<p>And it joins a powerful list, as Google (GOOG,GOOGL), <a href=\"https://laohu8.com/S/AMZN\">Amazon.com</a>(NASDAQ:AMZN)and <a href=\"https://laohu8.com/S/MSFT\">Microsoft</a>(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.</p>\n<p>Facebook edged higher in early trading.</p>\n<p><img src=\"https://static.tigerbbs.com/a5a9243d1a81822969fa253931c34983\" tg-width=\"1154\" tg-height=\"553\" width=\"100%\" height=\"auto\"></p>","source":"seekingalpha","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Facebook building custom chips for machine learning, video quality - report</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nFacebook building custom chips for machine learning, video quality - report\n</h2>\n\n<h4 class=\"meta\">\n\n\n2021-09-09 22:28 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report><strong>seekingalpha</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media ...</p>\n\n<a href=\"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{},"source_url":"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report","is_english":true,"share_image_url":"https://static.laohu8.com/5a36db9d73b4222bc376d24ccc48c8a4","article_id":"1171758120","content_text":"Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media giant is building a chip to power machine learning that it uses to recommend content to users, The Information reports, and is working on another to improve video transcoding quality. More than 100 people are working on the machine-learning chip, according to the report.\nThe goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.\nIt would also reduce Facebook's reliance on existing chip vendors, recently including Intel(NASDAQ:INTC), Qualcomm(NASDAQ:QCOM)and Broadcom(NASDAQ:AVGO).\nFacebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.\nBut Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.\nAnd it joins a powerful list, as Google (GOOG,GOOGL), Amazon.com(NASDAQ:AMZN)and Microsoft(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.\nFacebook edged higher in early trading.","news_type":1},"isVote":1,"likeStatus":false,"favoriteStatus":false,"reportStatus":false,"tweetType":1,"comments":[{"id":5810348,"gmtCreate":1631225786841,"gmtModify":1663233633444,"authorId":3559787818034959,"author":{"id":3559787818034959,"idStr":"3559787818034959","authorId":3559787818034959,"name":"Ericlam","avatar":"https://static.tigerbbs.com/f2154f4bb8afd22f8e6fde60b57acb69","vip":1,"currentWearingBadge":{"badgeId":"1026c425416b44e0aac28c11a0848493-3","templateUuid":"1026c425416b44e0aac28c11a0848493","name":" Tiger Idol","description":"Join the tiger community for 1500 days","bigImgUrl":"https://static.tigerbbs.com/8b40ae7da5bf081a1c84df14bf9e6367","smallImgUrl":"https://static.tigerbbs.com/f160eceddd7c284a8e1136557615cfad","grayImgUrl":"https://static.tigerbbs.com/11792805c468334a9b31c39f95a41c6a","redirectLinkEnabled":0,"hasAllocated":1,"isWearing":1,"stampPosition":0,"hasStamp":0,"allocationCount":1,"allocatedDate":"2024.09.15","individualDisplayEnabled":0,"individualDisplaySort":0,"categoryType":1001},"crmLevel":7,"crmLevelSwitch":1,"individualDisplayBadges":[]},"repliedAuthorId":0,"objectId":883196342,"type":1,"supId":0,"prevId":0,"content":"nice","text":"nice","html":"nice"}],"langContent":"CN"},{"id":883368177,"gmtCreate":1631203339499,"gmtModify":1676530496666,"author":{"id":"4090106611802980","authorId":"4090106611802980","name":"Linglong8191","avatar":"https://static.tigerbbs.com/71a6ce91b1eb399b39912e57d7575d87","vip":1,"crmLevel":2,"crmLevelSwitch":0,"idStr":"4090106611802980","authorIdStr":"4090106611802980"},"htmlText":"Like pls","listText":"Like pls","text":"Like pls","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":5,"commentSize":3,"repostSize":0,"link":"https://ttm.financial/post/883368177","repostId":1171758120,"repostType":4,"repost":{"id":"1171758120","pubTimestamp":1631197714,"share":"https://ttm.financial/m/news/1171758120?lang=&edition=fundamental","pubTime":"2021-09-09 22:28","market":"us","language":"en","title":"Facebook building custom chips for machine learning, video quality - report","url":"https://stock-news.laohu8.com/highlight/detail?id=1171758120","media":"seekingalpha","summary":"Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a h","content":"<p><a href=\"https://laohu8.com/S/FB\">Facebook</a> hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.</p>\n<p>The social-media giant is building a chip to power machine learning that it uses to recommend content to users, The <a href=\"https://laohu8.com/S/III\">Information</a> reports, and is working on another to improve video transcoding quality. More than 100 people are working on the machine-learning chip, according to the report.</p>\n<p>The goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.</p>\n<p>It would also reduce Facebook's reliance on existing chip vendors, recently including <a href=\"https://laohu8.com/S/INTC\">Intel</a>(NASDAQ:INTC), <a href=\"https://laohu8.com/S/QCOM\">Qualcomm</a>(NASDAQ:QCOM)and <a href=\"https://laohu8.com/S/AVGO\">Broadcom</a>(NASDAQ:AVGO).</p>\n<p>Facebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.</p>\n<p>But Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.</p>\n<p>And it joins a powerful list, as Google (GOOG,GOOGL), <a href=\"https://laohu8.com/S/AMZN\">Amazon.com</a>(NASDAQ:AMZN)and <a href=\"https://laohu8.com/S/MSFT\">Microsoft</a>(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.</p>\n<p>Facebook edged higher in early trading.</p>\n<p><img src=\"https://static.tigerbbs.com/a5a9243d1a81822969fa253931c34983\" tg-width=\"1154\" tg-height=\"553\" width=\"100%\" height=\"auto\"></p>","source":"seekingalpha","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Facebook building custom chips for machine learning, video quality - report</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nFacebook building custom chips for machine learning, video quality - report\n</h2>\n\n<h4 class=\"meta\">\n\n\n2021-09-09 22:28 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report><strong>seekingalpha</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media ...</p>\n\n<a href=\"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{},"source_url":"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report","is_english":true,"share_image_url":"https://static.laohu8.com/5a36db9d73b4222bc376d24ccc48c8a4","article_id":"1171758120","content_text":"Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media giant is building a chip to power machine learning that it uses to recommend content to users, The Information reports, and is working on another to improve video transcoding quality. More than 100 people are working on the machine-learning chip, according to the report.\nThe goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.\nIt would also reduce Facebook's reliance on existing chip vendors, recently including Intel(NASDAQ:INTC), Qualcomm(NASDAQ:QCOM)and Broadcom(NASDAQ:AVGO).\nFacebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.\nBut Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.\nAnd it joins a powerful list, as Google (GOOG,GOOGL), Amazon.com(NASDAQ:AMZN)and Microsoft(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.\nFacebook edged higher in early trading.","news_type":1},"isVote":1,"likeStatus":false,"favoriteStatus":false,"reportStatus":false,"tweetType":1,"comments":[{"id":5825387,"gmtCreate":1631319957541,"gmtModify":1663233700250,"authorId":3559581955535845,"author":{"id":3559581955535845,"idStr":"3559581955535845","authorId":3559581955535845,"name":"koolgal","avatar":"https://static.tigerbbs.com/c05274d88ffc0434623e57350c52c70a","vip":2,"currentWearingBadge":{"badgeId":"c4ee29b388ff41cc8462b3b7ea00d1e2-1","templateUuid":"c4ee29b388ff41cc8462b3b7ea00d1e2","name":"Monthly Top Contributor","description":"Top 3 Contributors with the most and best Editor's Picks every month","bigImgUrl":"https://static.tigerbbs.com/b0cad6192443c33dca826a001250fbd4","smallImgUrl":"https://static.tigerbbs.com/5ccd98c646815ce7610b0df338e060cc","redirectLinkEnabled":1,"redirectLink":"https://ttm.financial/TW/9000980585","hasAllocated":1,"isWearing":1,"stampPosition":0,"hasStamp":0,"allocationCount":1,"allocatedDate":"2022.04.02","individualDisplayEnabled":0,"individualDisplaySort":0,"categoryType":2003},"crmLevel":6,"crmLevelSwitch":1,"individualDisplayBadges":[{"badgeId":"9427a906234c4b18a82ec3d7730b7fa8-1","templateUuid":"9427a906234c4b18a82ec3d7730b7fa8","name":"Star Contributor","description":"Have published 3 or more picked posts, and have published at least one picked post and participated in comments within 30 days","bigImgUrl":"https://community-static.tradeup.com/news/1866dcf97a73be1c330f85862546aedc","smallImgUrl":"https://community-static.tradeup.com/news/4f5c5fa8e2c7683bb5a7fce8753ee456","redirectLinkEnabled":1,"redirectLink":"https://ttm.financial/activity/market/2023/star-contributors/","hasAllocated":1,"isWearing":0,"stampPosition":0,"hasStamp":0,"allocationCount":1,"allocatedDate":"2024.11.22","individualDisplayEnabled":1,"backgroundColor":{"dark":"#675a37","tint":"#f9ebc2"},"fontColor":{"dark":"#ffffff","tint":"#ab7a0e"},"individualDisplaySort":0,"categoryType":2007}]},"repliedAuthorId":0,"objectId":883368177,"type":1,"supId":0,"prevId":0,"content":"??","text":"??","html":"??"},{"id":5812132,"gmtCreate":1631233341769,"gmtModify":1663233642041,"authorId":3581840130059040,"author":{"id":3581840130059040,"idStr":"3581840130059040","authorId":3581840130059040,"name":"tungleh","avatar":"https://static.itradeup.com/news/e7cd8f0c265e9dabe49dea7b97ffe6b9","vip":1,"currentWearingBadge":{"badgeId":"a83d7582f45846ffbccbce770ce65d84-1","templateUuid":"a83d7582f45846ffbccbce770ce65d84","name":"Real Trader","description":"Completed a transaction","bigImgUrl":"https://static.tigerbbs.com/2e08a1cc2087a1de93402c2c290fa65b","smallImgUrl":"https://static.tigerbbs.com/4504a6397ce1137932d56e5f4ce27166","grayImgUrl":"https://static.tigerbbs.com/4b22c79415b4cd6e3d8ebc4a0fa32604","redirectLinkEnabled":0,"hasAllocated":1,"isWearing":1,"stampPosition":0,"hasStamp":0,"allocationCount":1,"allocatedDate":"2021.12.21","individualDisplayEnabled":0,"individualDisplaySort":0,"categoryType":1100},"crmLevel":2,"crmLevelSwitch":1,"individualDisplayBadges":[]},"repliedAuthorId":0,"objectId":883368177,"type":1,"supId":0,"prevId":0,"content":"<u>Done</u>","text":"<u>Done</u>","html":"<u>Done</u>"},{"id":5809854,"gmtCreate":1631213264176,"gmtModify":1663233630740,"authorId":3585128311778170,"author":{"id":3585128311778170,"idStr":"3585128311778170","authorId":3585128311778170,"name":"Money_Hunter","avatar":"https://static.laohu8.com/default-avatar.jpg","vip":1,"crmLevel":7,"crmLevelSwitch":0,"individualDisplayBadges":[]},"repliedAuthorId":0,"objectId":883368177,"type":1,"supId":0,"prevId":0,"content":"Ok","text":"Ok","html":"Ok"}],"langContent":"EN"},{"id":883337326,"gmtCreate":1631200981265,"gmtModify":1676530495958,"author":{"id":"3581821460102863","authorId":"3581821460102863","name":"HL2022","avatar":"https://static.laohu8.com/default-avatar.jpg","vip":1,"crmLevel":2,"crmLevelSwitch":0,"idStr":"3581821460102863","authorIdStr":"3581821460102863"},"htmlText":"Good move&nbsp;","listText":"Good move&nbsp;","text":"Good move","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":5,"commentSize":1,"repostSize":0,"link":"https://ttm.financial/post/883337326","repostId":1171758120,"repostType":4,"repost":{"id":"1171758120","pubTimestamp":1631197714,"share":"https://ttm.financial/m/news/1171758120?lang=&edition=fundamental","pubTime":"2021-09-09 22:28","market":"us","language":"en","title":"Facebook building custom chips for machine learning, video quality - report","url":"https://stock-news.laohu8.com/highlight/detail?id=1171758120","media":"seekingalpha","summary":"Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a h","content":"<p><a href=\"https://laohu8.com/S/FB\">Facebook</a> hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.</p>\n<p>The social-media giant is building a chip to power machine learning that it uses to recommend content to users, The <a href=\"https://laohu8.com/S/III\">Information</a> reports, and is working on another to improve video transcoding quality. More than 100 people are working on the machine-learning chip, according to the report.</p>\n<p>The goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.</p>\n<p>It would also reduce Facebook's reliance on existing chip vendors, recently including <a href=\"https://laohu8.com/S/INTC\">Intel</a>(NASDAQ:INTC), <a href=\"https://laohu8.com/S/QCOM\">Qualcomm</a>(NASDAQ:QCOM)and <a href=\"https://laohu8.com/S/AVGO\">Broadcom</a>(NASDAQ:AVGO).</p>\n<p>Facebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.</p>\n<p>But Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.</p>\n<p>And it joins a powerful list, as Google (GOOG,GOOGL), <a href=\"https://laohu8.com/S/AMZN\">Amazon.com</a>(NASDAQ:AMZN)and <a href=\"https://laohu8.com/S/MSFT\">Microsoft</a>(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.</p>\n<p>Facebook edged higher in early trading.</p>\n<p><img src=\"https://static.tigerbbs.com/a5a9243d1a81822969fa253931c34983\" tg-width=\"1154\" tg-height=\"553\" width=\"100%\" height=\"auto\"></p>","source":"seekingalpha","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Facebook building custom chips for machine learning, video quality - report</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nFacebook building custom chips for machine learning, video quality - report\n</h2>\n\n<h4 class=\"meta\">\n\n\n2021-09-09 22:28 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report><strong>seekingalpha</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media ...</p>\n\n<a href=\"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{},"source_url":"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report","is_english":true,"share_image_url":"https://static.laohu8.com/5a36db9d73b4222bc376d24ccc48c8a4","article_id":"1171758120","content_text":"Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media giant is building a chip to power machine learning that it uses to recommend content to users, The Information reports, and is working on another to improve video transcoding quality. More than 100 people are working on the machine-learning chip, according to the report.\nThe goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.\nIt would also reduce Facebook's reliance on existing chip vendors, recently including Intel(NASDAQ:INTC), Qualcomm(NASDAQ:QCOM)and Broadcom(NASDAQ:AVGO).\nFacebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.\nBut Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.\nAnd it joins a powerful list, as Google (GOOG,GOOGL), Amazon.com(NASDAQ:AMZN)and Microsoft(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.\nFacebook edged higher in early trading.","news_type":1},"isVote":1,"likeStatus":false,"favoriteStatus":false,"reportStatus":false,"tweetType":1,"comments":[{"id":5809105,"gmtCreate":1631202012283,"gmtModify":1663233627153,"authorId":3569531614182731,"author":{"id":3569531614182731,"idStr":"3569531614182731","authorId":3569531614182731,"name":"Gabrielle_20","avatar":"https://static.tigerbbs.com/3687c03e4fcd937f9b3fa40fa7705b14","vip":1,"crmLevel":2,"crmLevelSwitch":0,"individualDisplayBadges":[]},"repliedAuthorId":0,"objectId":883337326,"type":1,"supId":0,"prevId":0,"content":"?","text":"?","html":"?"}],"langContent":"EN"},{"id":883334012,"gmtCreate":1631200923136,"gmtModify":1676530495934,"author":{"id":"3582018233797881","authorId":"3582018233797881","name":"Jayk7","avatar":"https://static.tigerbbs.com/61fdb0315d51df04227ca28af7bcdf19","vip":1,"crmLevel":5,"crmLevelSwitch":0,"idStr":"3582018233797881","authorIdStr":"3582018233797881"},"htmlText":"Ok","listText":"Ok","text":"Ok","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":5,"commentSize":1,"repostSize":0,"link":"https://ttm.financial/post/883334012","repostId":1171758120,"repostType":4,"repost":{"id":"1171758120","pubTimestamp":1631197714,"share":"https://ttm.financial/m/news/1171758120?lang=&edition=fundamental","pubTime":"2021-09-09 22:28","market":"us","language":"en","title":"Facebook building custom chips for machine learning, video quality - report","url":"https://stock-news.laohu8.com/highlight/detail?id=1171758120","media":"seekingalpha","summary":"Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a h","content":"<p><a href=\"https://laohu8.com/S/FB\">Facebook</a> hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.</p>\n<p>The social-media giant is building a chip to power machine learning that it uses to recommend content to users, The <a href=\"https://laohu8.com/S/III\">Information</a> reports, and is working on another to improve video transcoding quality. More than 100 people are working on the machine-learning chip, according to the report.</p>\n<p>The goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.</p>\n<p>It would also reduce Facebook's reliance on existing chip vendors, recently including <a href=\"https://laohu8.com/S/INTC\">Intel</a>(NASDAQ:INTC), <a href=\"https://laohu8.com/S/QCOM\">Qualcomm</a>(NASDAQ:QCOM)and <a href=\"https://laohu8.com/S/AVGO\">Broadcom</a>(NASDAQ:AVGO).</p>\n<p>Facebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.</p>\n<p>But Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.</p>\n<p>And it joins a powerful list, as Google (GOOG,GOOGL), <a href=\"https://laohu8.com/S/AMZN\">Amazon.com</a>(NASDAQ:AMZN)and <a href=\"https://laohu8.com/S/MSFT\">Microsoft</a>(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.</p>\n<p>Facebook edged higher in early trading.</p>\n<p><img src=\"https://static.tigerbbs.com/a5a9243d1a81822969fa253931c34983\" tg-width=\"1154\" tg-height=\"553\" width=\"100%\" height=\"auto\"></p>","source":"seekingalpha","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Facebook building custom chips for machine learning, video quality - report</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nFacebook building custom chips for machine learning, video quality - report\n</h2>\n\n<h4 class=\"meta\">\n\n\n2021-09-09 22:28 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report><strong>seekingalpha</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media ...</p>\n\n<a href=\"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{},"source_url":"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report","is_english":true,"share_image_url":"https://static.laohu8.com/5a36db9d73b4222bc376d24ccc48c8a4","article_id":"1171758120","content_text":"Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media giant is building a chip to power machine learning that it uses to recommend content to users, The Information reports, and is working on another to improve video transcoding quality. More than 100 people are working on the machine-learning chip, according to the report.\nThe goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.\nIt would also reduce Facebook's reliance on existing chip vendors, recently including Intel(NASDAQ:INTC), Qualcomm(NASDAQ:QCOM)and Broadcom(NASDAQ:AVGO).\nFacebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.\nBut Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.\nAnd it joins a powerful list, as Google (GOOG,GOOGL), Amazon.com(NASDAQ:AMZN)and Microsoft(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.\nFacebook edged higher in early trading.","news_type":1},"isVote":1,"likeStatus":false,"favoriteStatus":false,"reportStatus":false,"tweetType":1,"comments":[{"id":5808899,"gmtCreate":1631200971818,"gmtModify":1663233625937,"authorId":3579340169444210,"author":{"id":3579340169444210,"idStr":"3579340169444210","authorId":3579340169444210,"name":"Tygress","avatar":"https://static.tigerbbs.com/0833a8ce5ec739350942784874a15f01","vip":1,"crmLevel":2,"crmLevelSwitch":0,"individualDisplayBadges":[]},"repliedAuthorId":0,"objectId":883334012,"type":1,"supId":0,"prevId":0,"content":"<u>Liked</u>","text":"<u>Liked</u>","html":"<u>Liked</u>"}],"langContent":"EN"},{"id":883332727,"gmtCreate":1631200867469,"gmtModify":1676530495902,"author":{"id":"3580076354872466","authorId":"3580076354872466","name":"玉树临风英俊","avatar":"https://static.laohu8.com/default-avatar.jpg","vip":1,"crmLevel":3,"crmLevelSwitch":0,"idStr":"3580076354872466","authorIdStr":"3580076354872466"},"htmlText":"?&nbsp;","listText":"?&nbsp;","text":"?","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":5,"commentSize":1,"repostSize":0,"link":"https://ttm.financial/post/883332727","repostId":1171758120,"repostType":4,"repost":{"id":"1171758120","pubTimestamp":1631197714,"share":"https://ttm.financial/m/news/1171758120?lang=&edition=fundamental","pubTime":"2021-09-09 22:28","market":"us","language":"en","title":"Facebook building custom chips for machine learning, video quality - report","url":"https://stock-news.laohu8.com/highlight/detail?id=1171758120","media":"seekingalpha","summary":"Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a h","content":"<p><a href=\"https://laohu8.com/S/FB\">Facebook</a> hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.</p>\n<p>The social-media giant is building a chip to power machine learning that it uses to recommend content to users, The <a href=\"https://laohu8.com/S/III\">Information</a> reports, and is working on another to improve video transcoding quality. More than 100 people are working on the machine-learning chip, according to the report.</p>\n<p>The goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.</p>\n<p>It would also reduce Facebook's reliance on existing chip vendors, recently including <a href=\"https://laohu8.com/S/INTC\">Intel</a>(NASDAQ:INTC), <a href=\"https://laohu8.com/S/QCOM\">Qualcomm</a>(NASDAQ:QCOM)and <a href=\"https://laohu8.com/S/AVGO\">Broadcom</a>(NASDAQ:AVGO).</p>\n<p>Facebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.</p>\n<p>But Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.</p>\n<p>And it joins a powerful list, as Google (GOOG,GOOGL), <a href=\"https://laohu8.com/S/AMZN\">Amazon.com</a>(NASDAQ:AMZN)and <a href=\"https://laohu8.com/S/MSFT\">Microsoft</a>(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.</p>\n<p>Facebook edged higher in early trading.</p>\n<p><img src=\"https://static.tigerbbs.com/a5a9243d1a81822969fa253931c34983\" tg-width=\"1154\" tg-height=\"553\" width=\"100%\" height=\"auto\"></p>","source":"seekingalpha","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Facebook building custom chips for machine learning, video quality - report</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nFacebook building custom chips for machine learning, video quality - report\n</h2>\n\n<h4 class=\"meta\">\n\n\n2021-09-09 22:28 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report><strong>seekingalpha</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media ...</p>\n\n<a href=\"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{},"source_url":"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report","is_english":true,"share_image_url":"https://static.laohu8.com/5a36db9d73b4222bc376d24ccc48c8a4","article_id":"1171758120","content_text":"Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media giant is building a chip to power machine learning that it uses to recommend content to users, The Information reports, and is working on another to improve video transcoding quality. More than 100 people are working on the machine-learning chip, according to the report.\nThe goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.\nIt would also reduce Facebook's reliance on existing chip vendors, recently including Intel(NASDAQ:INTC), Qualcomm(NASDAQ:QCOM)and Broadcom(NASDAQ:AVGO).\nFacebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.\nBut Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.\nAnd it joins a powerful list, as Google (GOOG,GOOGL), Amazon.com(NASDAQ:AMZN)and Microsoft(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.\nFacebook edged higher in early trading.","news_type":1},"isVote":1,"likeStatus":false,"favoriteStatus":false,"reportStatus":false,"tweetType":1,"comments":[{"id":5810351,"gmtCreate":1631225807663,"gmtModify":1663233633839,"authorId":3559787818034959,"author":{"id":3559787818034959,"idStr":"3559787818034959","authorId":3559787818034959,"name":"Ericlam","avatar":"https://static.tigerbbs.com/f2154f4bb8afd22f8e6fde60b57acb69","vip":1,"currentWearingBadge":{"badgeId":"1026c425416b44e0aac28c11a0848493-3","templateUuid":"1026c425416b44e0aac28c11a0848493","name":" Tiger Idol","description":"Join the tiger community for 1500 days","bigImgUrl":"https://static.tigerbbs.com/8b40ae7da5bf081a1c84df14bf9e6367","smallImgUrl":"https://static.tigerbbs.com/f160eceddd7c284a8e1136557615cfad","grayImgUrl":"https://static.tigerbbs.com/11792805c468334a9b31c39f95a41c6a","redirectLinkEnabled":0,"hasAllocated":1,"isWearing":1,"stampPosition":0,"hasStamp":0,"allocationCount":1,"allocatedDate":"2024.09.15","individualDisplayEnabled":0,"individualDisplaySort":0,"categoryType":1001},"crmLevel":7,"crmLevelSwitch":1,"individualDisplayBadges":[]},"repliedAuthorId":0,"objectId":883332727,"type":1,"supId":0,"prevId":0,"content":"nice","text":"nice","html":"nice"}],"langContent":"EN"},{"id":883332494,"gmtCreate":1631200866918,"gmtModify":1676530495918,"author":{"id":"3586223575744434","authorId":"3586223575744434","name":"LimYH","avatar":"https://static.laohu8.com/default-avatar.jpg","vip":1,"crmLevel":2,"crmLevelSwitch":0,"idStr":"3586223575744434","authorIdStr":"3586223575744434"},"htmlText":"Its time to buy FB share","listText":"Its time to buy FB share","text":"Its time to buy FB share","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":4,"commentSize":1,"repostSize":0,"link":"https://ttm.financial/post/883332494","repostId":1171758120,"repostType":4,"repost":{"id":"1171758120","pubTimestamp":1631197714,"share":"https://ttm.financial/m/news/1171758120?lang=&edition=fundamental","pubTime":"2021-09-09 22:28","market":"us","language":"en","title":"Facebook building custom chips for machine learning, video quality - report","url":"https://stock-news.laohu8.com/highlight/detail?id=1171758120","media":"seekingalpha","summary":"Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a h","content":"<p><a href=\"https://laohu8.com/S/FB\">Facebook</a> hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.</p>\n<p>The social-media giant is building a chip to power machine learning that it uses to recommend content to users, The <a href=\"https://laohu8.com/S/III\">Information</a> reports, and is working on another to improve video transcoding quality. More than 100 people are working on the machine-learning chip, according to the report.</p>\n<p>The goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.</p>\n<p>It would also reduce Facebook's reliance on existing chip vendors, recently including <a href=\"https://laohu8.com/S/INTC\">Intel</a>(NASDAQ:INTC), <a href=\"https://laohu8.com/S/QCOM\">Qualcomm</a>(NASDAQ:QCOM)and <a href=\"https://laohu8.com/S/AVGO\">Broadcom</a>(NASDAQ:AVGO).</p>\n<p>Facebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.</p>\n<p>But Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.</p>\n<p>And it joins a powerful list, as Google (GOOG,GOOGL), <a href=\"https://laohu8.com/S/AMZN\">Amazon.com</a>(NASDAQ:AMZN)and <a href=\"https://laohu8.com/S/MSFT\">Microsoft</a>(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.</p>\n<p>Facebook edged higher in early trading.</p>\n<p><img src=\"https://static.tigerbbs.com/a5a9243d1a81822969fa253931c34983\" tg-width=\"1154\" tg-height=\"553\" width=\"100%\" height=\"auto\"></p>","source":"seekingalpha","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Facebook building custom chips for machine learning, video quality - report</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nFacebook building custom chips for machine learning, video quality - report\n</h2>\n\n<h4 class=\"meta\">\n\n\n2021-09-09 22:28 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report><strong>seekingalpha</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media ...</p>\n\n<a href=\"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{},"source_url":"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report","is_english":true,"share_image_url":"https://static.laohu8.com/5a36db9d73b4222bc376d24ccc48c8a4","article_id":"1171758120","content_text":"Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media giant is building a chip to power machine learning that it uses to recommend content to users, The Information reports, and is working on another to improve video transcoding quality. More than 100 people are working on the machine-learning chip, according to the report.\nThe goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.\nIt would also reduce Facebook's reliance on existing chip vendors, recently including Intel(NASDAQ:INTC), Qualcomm(NASDAQ:QCOM)and Broadcom(NASDAQ:AVGO).\nFacebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.\nBut Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.\nAnd it joins a powerful list, as Google (GOOG,GOOGL), Amazon.com(NASDAQ:AMZN)and Microsoft(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.\nFacebook edged higher in early trading.","news_type":1},"isVote":1,"likeStatus":false,"favoriteStatus":false,"reportStatus":false,"tweetType":1,"comments":[{"id":5809516,"gmtCreate":1631205290023,"gmtModify":1663233628032,"authorId":3563863691814974,"author":{"id":3563863691814974,"idStr":"3563863691814974","authorId":3563863691814974,"name":"Al385","avatar":"https://static.tigerbbs.com/51b962289811e9774fd45f1320a21259","vip":1,"crmLevel":3,"crmLevelSwitch":0,"individualDisplayBadges":[]},"repliedAuthorId":0,"objectId":883332494,"type":1,"supId":0,"prevId":0,"content":"?","text":"?","html":"?"}],"langContent":"EN"},{"id":883397129,"gmtCreate":1631200327561,"gmtModify":1676530495753,"author":{"id":"3568592803065563","authorId":"3568592803065563","name":"yinfatt","avatar":"https://static.tigerbbs.com/7a23c5020f38941c73ef9797c191ba65","vip":1,"crmLevel":2,"crmLevelSwitch":0,"idStr":"3568592803065563","authorIdStr":"3568592803065563"},"htmlText":"Patience and discipline is a virtue that will benefit all traders, keeping emotion and snap judgments in check.","listText":"Patience and discipline is a virtue that will benefit all traders, keeping emotion and snap judgments in check.","text":"Patience and discipline is a virtue that will benefit all traders, keeping emotion and snap judgments in check.","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":11,"commentSize":4,"repostSize":0,"link":"https://ttm.financial/post/883397129","repostId":1171758120,"repostType":4,"repost":{"id":"1171758120","pubTimestamp":1631197714,"share":"https://ttm.financial/m/news/1171758120?lang=&edition=fundamental","pubTime":"2021-09-09 22:28","market":"us","language":"en","title":"Facebook building custom chips for machine learning, video quality - report","url":"https://stock-news.laohu8.com/highlight/detail?id=1171758120","media":"seekingalpha","summary":"Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a h","content":"<p><a href=\"https://laohu8.com/S/FB\">Facebook</a> hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.</p>\n<p>The social-media giant is building a chip to power machine learning that it uses to recommend content to users, The <a href=\"https://laohu8.com/S/III\">Information</a> reports, and is working on another to improve video transcoding quality. More than 100 people are working on the machine-learning chip, according to the report.</p>\n<p>The goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.</p>\n<p>It would also reduce Facebook's reliance on existing chip vendors, recently including <a href=\"https://laohu8.com/S/INTC\">Intel</a>(NASDAQ:INTC), <a href=\"https://laohu8.com/S/QCOM\">Qualcomm</a>(NASDAQ:QCOM)and <a href=\"https://laohu8.com/S/AVGO\">Broadcom</a>(NASDAQ:AVGO).</p>\n<p>Facebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.</p>\n<p>But Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.</p>\n<p>And it joins a powerful list, as Google (GOOG,GOOGL), <a href=\"https://laohu8.com/S/AMZN\">Amazon.com</a>(NASDAQ:AMZN)and <a href=\"https://laohu8.com/S/MSFT\">Microsoft</a>(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.</p>\n<p>Facebook edged higher in early trading.</p>\n<p><img src=\"https://static.tigerbbs.com/a5a9243d1a81822969fa253931c34983\" tg-width=\"1154\" tg-height=\"553\" width=\"100%\" height=\"auto\"></p>","source":"seekingalpha","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Facebook building custom chips for machine learning, video quality - report</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nFacebook building custom chips for machine learning, video quality - report\n</h2>\n\n<h4 class=\"meta\">\n\n\n2021-09-09 22:28 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report><strong>seekingalpha</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media ...</p>\n\n<a href=\"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{},"source_url":"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report","is_english":true,"share_image_url":"https://static.laohu8.com/5a36db9d73b4222bc376d24ccc48c8a4","article_id":"1171758120","content_text":"Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media giant is building a chip to power machine learning that it uses to recommend content to users, The Information reports, and is working on another to improve video transcoding quality. More than 100 people are working on the machine-learning chip, according to the report.\nThe goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.\nIt would also reduce Facebook's reliance on existing chip vendors, recently including Intel(NASDAQ:INTC), Qualcomm(NASDAQ:QCOM)and Broadcom(NASDAQ:AVGO).\nFacebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.\nBut Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.\nAnd it joins a powerful list, as Google (GOOG,GOOGL), Amazon.com(NASDAQ:AMZN)and Microsoft(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.\nFacebook edged higher in early trading.","news_type":1},"isVote":1,"likeStatus":false,"favoriteStatus":false,"reportStatus":false,"tweetType":1,"comments":[{"id":5808871,"gmtCreate":1631200848922,"gmtModify":1663233627670,"authorId":3586223575744434,"author":{"id":3586223575744434,"idStr":"3586223575744434","authorId":3586223575744434,"name":"LimYH","avatar":"https://static.laohu8.com/default-avatar.jpg","vip":1,"crmLevel":2,"crmLevelSwitch":0,"individualDisplayBadges":[]},"repliedAuthorId":0,"objectId":883397129,"type":1,"supId":0,"prevId":0,"content":"noted","text":"noted","html":"noted"},{"id":5808879,"gmtCreate":1631200882720,"gmtModify":1663233627669,"authorId":3580076354872466,"author":{"id":3580076354872466,"idStr":"3580076354872466","authorId":3580076354872466,"name":"玉树临风英俊","avatar":"https://static.laohu8.com/default-avatar.jpg","vip":1,"crmLevel":3,"crmLevelSwitch":0,"individualDisplayBadges":[]},"repliedAuthorId":0,"objectId":883397129,"type":1,"supId":0,"prevId":0,"content":"Ok","text":"Ok","html":"Ok"},{"id":5808852,"gmtCreate":1631200788017,"gmtModify":1663233626150,"authorId":3581569662385705,"author":{"id":3581569662385705,"idStr":"3581569662385705","authorId":3581569662385705,"name":"Tiffany81","avatar":"https://static.laohu8.com/default-avatar.jpg","vip":1,"crmLevel":2,"crmLevelSwitch":0,"individualDisplayBadges":[]},"repliedAuthorId":0,"objectId":883397129,"type":1,"supId":0,"prevId":0,"content":"ok","text":"ok","html":"ok"},{"id":5808821,"gmtCreate":1631200653341,"gmtModify":1663233625827,"authorId":4088591126250580,"author":{"id":4088591126250580,"idStr":"4088591126250580","authorId":4088591126250580,"name":"C1238","avatar":"https://static.tigerbbs.com/1c3415ee92c7e6c23d07e6173daae4d7","vip":1,"currentWearingBadge":{"badgeId":"972123088c9646f7b6091ae0662215be-1","templateUuid":"972123088c9646f7b6091ae0662215be","name":"Elite Trader","description":"Total number of securities or futures transactions reached 30","bigImgUrl":"https://static.tigerbbs.com/ab0f87127c854ce3191a752d57b46edc","smallImgUrl":"https://static.tigerbbs.com/c9835ce48b8c8743566d344ac7a7ba8c","grayImgUrl":"https://static.tigerbbs.com/76754b53ce7a90019f132c1d2fbc698f","redirectLinkEnabled":0,"hasAllocated":1,"isWearing":1,"stampPosition":0,"hasStamp":0,"allocationCount":1,"allocatedDate":"2024.04.25","exceedPercentage":"60.48%","individualDisplayEnabled":0,"individualDisplaySort":0,"categoryType":1100},"crmLevel":2,"crmLevelSwitch":0,"individualDisplayBadges":[]},"repliedAuthorId":0,"objectId":883397129,"type":1,"supId":0,"prevId":0,"content":"Ok","text":"Ok","html":"Ok"}],"langContent":"EN"},{"id":883304996,"gmtCreate":1631199575715,"gmtModify":1676530495522,"author":{"id":"3582789589641542","authorId":"3582789589641542","name":"ElvisLHS","avatar":"https://community-static.tradeup.com/news/0eedb9c8606dbadf3e0b6fb7789c6be7","vip":1,"crmLevel":8,"crmLevelSwitch":1,"idStr":"3582789589641542","authorIdStr":"3582789589641542"},"htmlText":"Read...pls like. Thanks in advance&nbsp;","listText":"Read...pls like. Thanks in advance&nbsp;","text":"Read...pls like. Thanks in advance","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":9,"commentSize":1,"repostSize":0,"link":"https://ttm.financial/post/883304996","repostId":1171758120,"repostType":4,"repost":{"id":"1171758120","pubTimestamp":1631197714,"share":"https://ttm.financial/m/news/1171758120?lang=&edition=fundamental","pubTime":"2021-09-09 22:28","market":"us","language":"en","title":"Facebook building custom chips for machine learning, video quality - report","url":"https://stock-news.laohu8.com/highlight/detail?id=1171758120","media":"seekingalpha","summary":"Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a h","content":"<p><a href=\"https://laohu8.com/S/FB\">Facebook</a> hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.</p>\n<p>The social-media giant is building a chip to power machine learning that it uses to recommend content to users, The <a href=\"https://laohu8.com/S/III\">Information</a> reports, and is working on another to improve video transcoding quality. More than 100 people are working on the machine-learning chip, according to the report.</p>\n<p>The goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.</p>\n<p>It would also reduce Facebook's reliance on existing chip vendors, recently including <a href=\"https://laohu8.com/S/INTC\">Intel</a>(NASDAQ:INTC), <a href=\"https://laohu8.com/S/QCOM\">Qualcomm</a>(NASDAQ:QCOM)and <a href=\"https://laohu8.com/S/AVGO\">Broadcom</a>(NASDAQ:AVGO).</p>\n<p>Facebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.</p>\n<p>But Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.</p>\n<p>And it joins a powerful list, as Google (GOOG,GOOGL), <a href=\"https://laohu8.com/S/AMZN\">Amazon.com</a>(NASDAQ:AMZN)and <a href=\"https://laohu8.com/S/MSFT\">Microsoft</a>(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.</p>\n<p>Facebook edged higher in early trading.</p>\n<p><img src=\"https://static.tigerbbs.com/a5a9243d1a81822969fa253931c34983\" tg-width=\"1154\" tg-height=\"553\" width=\"100%\" height=\"auto\"></p>","source":"seekingalpha","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Facebook building custom chips for machine learning, video quality - report</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nFacebook building custom chips for machine learning, video quality - report\n</h2>\n\n<h4 class=\"meta\">\n\n\n2021-09-09 22:28 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report><strong>seekingalpha</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media ...</p>\n\n<a href=\"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{},"source_url":"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report","is_english":true,"share_image_url":"https://static.laohu8.com/5a36db9d73b4222bc376d24ccc48c8a4","article_id":"1171758120","content_text":"Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media giant is building a chip to power machine learning that it uses to recommend content to users, The Information reports, and is working on another to improve video transcoding quality. More than 100 people are working on the machine-learning chip, according to the report.\nThe goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.\nIt would also reduce Facebook's reliance on existing chip vendors, recently including Intel(NASDAQ:INTC), Qualcomm(NASDAQ:QCOM)and Broadcom(NASDAQ:AVGO).\nFacebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.\nBut Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.\nAnd it joins a powerful list, as Google (GOOG,GOOGL), Amazon.com(NASDAQ:AMZN)and Microsoft(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.\nFacebook edged higher in early trading.","news_type":1},"isVote":1,"likeStatus":false,"favoriteStatus":false,"reportStatus":false,"tweetType":1,"comments":[{"id":5808713,"gmtCreate":1631200069375,"gmtModify":1663233627726,"authorId":3577917989847586,"author":{"id":3577917989847586,"idStr":"3577917989847586","authorId":3577917989847586,"name":"Holidaymood","avatar":"https://static.tigerbbs.com/c2f7be8cd64ecb0e1182c0d9afae636f","vip":1,"crmLevel":5,"crmLevelSwitch":0,"individualDisplayBadges":[]},"repliedAuthorId":0,"objectId":883304996,"type":1,"supId":0,"prevId":0,"content":"Nice","text":"Nice","html":"Nice"}],"langContent":"EN"},{"id":883302389,"gmtCreate":1631199469241,"gmtModify":1676530495488,"author":{"id":"4092484826589180","authorId":"4092484826589180","name":"SereneCL","avatar":"https://static.tigerbbs.com/335c21b14b58faca2d9a222f9424183d","vip":1,"crmLevel":1,"crmLevelSwitch":0,"idStr":"4092484826589180","authorIdStr":"4092484826589180"},"htmlText":"Good","listText":"Good","text":"Good","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":7,"commentSize":1,"repostSize":0,"link":"https://ttm.financial/post/883302389","repostId":1171758120,"repostType":4,"repost":{"id":"1171758120","pubTimestamp":1631197714,"share":"https://ttm.financial/m/news/1171758120?lang=&edition=fundamental","pubTime":"2021-09-09 22:28","market":"us","language":"en","title":"Facebook building custom chips for machine learning, video quality - report","url":"https://stock-news.laohu8.com/highlight/detail?id=1171758120","media":"seekingalpha","summary":"Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a h","content":"<p><a href=\"https://laohu8.com/S/FB\">Facebook</a> hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.</p>\n<p>The social-media giant is building a chip to power machine learning that it uses to recommend content to users, The <a href=\"https://laohu8.com/S/III\">Information</a> reports, and is working on another to improve video transcoding quality. More than 100 people are working on the machine-learning chip, according to the report.</p>\n<p>The goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.</p>\n<p>It would also reduce Facebook's reliance on existing chip vendors, recently including <a href=\"https://laohu8.com/S/INTC\">Intel</a>(NASDAQ:INTC), <a href=\"https://laohu8.com/S/QCOM\">Qualcomm</a>(NASDAQ:QCOM)and <a href=\"https://laohu8.com/S/AVGO\">Broadcom</a>(NASDAQ:AVGO).</p>\n<p>Facebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.</p>\n<p>But Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.</p>\n<p>And it joins a powerful list, as Google (GOOG,GOOGL), <a href=\"https://laohu8.com/S/AMZN\">Amazon.com</a>(NASDAQ:AMZN)and <a href=\"https://laohu8.com/S/MSFT\">Microsoft</a>(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.</p>\n<p>Facebook edged higher in early trading.</p>\n<p><img src=\"https://static.tigerbbs.com/a5a9243d1a81822969fa253931c34983\" tg-width=\"1154\" tg-height=\"553\" width=\"100%\" height=\"auto\"></p>","source":"seekingalpha","collect":0,"html":"<!DOCTYPE html>\n<html>\n<head>\n<meta http-equiv=\"Content-Type\" content=\"text/html; charset=utf-8\" />\n<meta name=\"viewport\" content=\"width=device-width,initial-scale=1.0,minimum-scale=1.0,maximum-scale=1.0,user-scalable=no\"/>\n<meta name=\"format-detection\" content=\"telephone=no,email=no,address=no\" />\n<title>Facebook building custom chips for machine learning, video quality - report</title>\n<style type=\"text/css\">\na,abbr,acronym,address,applet,article,aside,audio,b,big,blockquote,body,canvas,caption,center,cite,code,dd,del,details,dfn,div,dl,dt,\nem,embed,fieldset,figcaption,figure,footer,form,h1,h2,h3,h4,h5,h6,header,hgroup,html,i,iframe,img,ins,kbd,label,legend,li,mark,menu,nav,\nobject,ol,output,p,pre,q,ruby,s,samp,section,small,span,strike,strong,sub,summary,sup,table,tbody,td,tfoot,th,thead,time,tr,tt,u,ul,var,video{ font:inherit;margin:0;padding:0;vertical-align:baseline;border:0 }\nbody{ font-size:16px; line-height:1.5; color:#999; background:transparent; }\n.wrapper{ overflow:hidden;word-break:break-all;padding:10px; }\nh1,h2{ font-weight:normal; line-height:1.35; margin-bottom:.6em; }\nh3,h4,h5,h6{ line-height:1.35; margin-bottom:1em; }\nh1{ font-size:24px; }\nh2{ font-size:20px; }\nh3{ font-size:18px; }\nh4{ font-size:16px; }\nh5{ font-size:14px; }\nh6{ font-size:12px; }\np,ul,ol,blockquote,dl,table{ margin:1.2em 0; }\nul,ol{ margin-left:2em; }\nul{ list-style:disc; }\nol{ list-style:decimal; }\nli,li p{ margin:10px 0;}\nimg{ max-width:100%;display:block;margin:0 auto 1em; }\nblockquote{ color:#B5B2B1; border-left:3px solid #aaa; padding:1em; }\nstrong,b{font-weight:bold;}\nem,i{font-style:italic;}\ntable{ width:100%;border-collapse:collapse;border-spacing:1px;margin:1em 0;font-size:.9em; }\nth,td{ padding:5px;text-align:left;border:1px solid #aaa; }\nth{ font-weight:bold;background:#5d5d5d; }\n.symbol-link{font-weight:bold;}\n/* header{ border-bottom:1px solid #494756; } */\n.title{ margin:0 0 8px;line-height:1.3;color:#ddd; }\n.meta {color:#5e5c6d;font-size:13px;margin:0 0 .5em; }\na{text-decoration:none; color:#2a4b87;}\n.meta .head { display: inline-block; overflow: hidden}\n.head .h-thumb { width: 30px; height: 30px; margin: 0; padding: 0; border-radius: 50%; float: left;}\n.head .h-content { margin: 0; padding: 0 0 0 9px; float: left;}\n.head .h-name {font-size: 13px; color: #eee; margin: 0;}\n.head .h-time {font-size: 11px; color: #7E829C; margin: 0;line-height: 11px;}\n.small {font-size: 12.5px; display: inline-block; transform: scale(0.9); -webkit-transform: scale(0.9); transform-origin: left; -webkit-transform-origin: left;}\n.smaller {font-size: 12.5px; display: inline-block; transform: scale(0.8); -webkit-transform: scale(0.8); transform-origin: left; -webkit-transform-origin: left;}\n.bt-text {font-size: 12px;margin: 1.5em 0 0 0}\n.bt-text p {margin: 0}\n</style>\n</head>\n<body>\n<div class=\"wrapper\">\n<header>\n<h2 class=\"title\">\nFacebook building custom chips for machine learning, video quality - report\n</h2>\n\n<h4 class=\"meta\">\n\n\n2021-09-09 22:28 GMT+8&nbsp;&nbsp;&nbsp;<a href=https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report><strong>seekingalpha</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media ...</p>\n\n<a href=\"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{},"source_url":"https://seekingalpha.com/news/3738346-facebook-building-custom-chips-for-machine-learning-video-quality-report","is_english":true,"share_image_url":"https://static.laohu8.com/5a36db9d73b4222bc376d24ccc48c8a4","article_id":"1171758120","content_text":"Facebook hasjoined the big-tech party for developing in-house semiconductors, in what has become a high-stakes arms race to innovate on artificial intelligence and machine learning.\nThe social-media giant is building a chip to power machine learning that it uses to recommend content to users, The Information reports, and is working on another to improve video transcoding quality. More than 100 people are working on the machine-learning chip, according to the report.\nThe goal is to produce more powerful and power-efficient chips that will be cheaper and offer more savings in the long run for companies running power-hungry data centers. And development cost for the new chips is relatively small.\nIt would also reduce Facebook's reliance on existing chip vendors, recently including Intel(NASDAQ:INTC), Qualcomm(NASDAQ:QCOM)and Broadcom(NASDAQ:AVGO).\nFacebook has brought in engineers to work on chips previously but they focused on modifying existing designs with the outside semiconductor companies, and the ambition then was semi-custom ASICs rather than solo work on full-fledged semiconductors.\nBut Facebook pointed the way to this outcome in previous commentary, where it noted that inference and transcoding were among its fastest growing services, and that it wouldn't be able to meet its data center needs with general-purpose processors alone.\nAnd it joins a powerful list, as Google (GOOG,GOOGL), Amazon.com(NASDAQ:AMZN)and Microsoft(NASDAQ:MSFT)have all been investing in custom silicon in order to wring better savings and performance out of their computing. Google is reportedlyconstructing its own chips for Chromebooks and Chrome devices, building on plans to use custom silicon in its phones.\nFacebook edged higher in early trading.","news_type":1},"isVote":1,"likeStatus":false,"favoriteStatus":false,"reportStatus":false,"tweetType":1,"comments":[{"id":5808734,"gmtCreate":1631200165228,"gmtModify":1663233626039,"authorId":3575455489344050,"author":{"id":3575455489344050,"idStr":"3575455489344050","authorId":3575455489344050,"name":"Myname","avatar":"https://static.tigerbbs.com/3fff4aa421deeb7a8d801ab27a14a82f","vip":1,"crmLevel":3,"crmLevelSwitch":0,"individualDisplayBadges":[]},"repliedAuthorId":0,"objectId":883302389,"type":1,"supId":0,"prevId":0,"content":"Good","text":"Good","html":"Good"}],"langContent":"EN"}],"hasMoreComments":true,"newsSizeData":{"likeSize":293,"commentSize":29,"repostSize":0,"favoriteSize":0,"likeStatus":false,"favoriteStatus":false}}