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2021-06-17

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Google Selects 3rd Gen AMD EPYC™ Processors to Launch First Tau VM Instance

AMD EPYC processors enable Google Cloud to provide customers with industry leading performance and price-performance for scale-out workloads

Google Selects 3rd Gen AMD EPYC™ Processors to Launch First Tau VM Instance

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According to Google Cloud, the T2D instance offers 56% higher absolute performance and more than 40% higher price performance for scale-out workloads1.</p>\n<p>The Tau VM family provides customers with a leading combination of performance, price, and easy integration. The T2D instances, using the leadership performance of 3rd Gen AMD EPYC processors, excels at workloads including web servers, containerized microservices, data logging-processing, large scale Java® applications and more.</p>\n<p>“At Google Cloud, our customers’ compute needs are evolving,” said Thomas Kurian, CEO of Google Cloud. “By collaborating with AMD, Google Cloud customers can now leverage amazing performance for scale-out applications, with great price-performance, all without compromising x86 compatibility.”</p>\n<p>“We designed 3rd Gen AMD EPYC processors to meet the growing demand from cloud and enterprise customers for high-performance, cost-effective solutions with optimal TCO,” said AMD President and CEO Dr. Lisa Su. “We work closely with Google Cloud and are proud they selected AMD to exclusively power the new Tau VM T2D instance which provides customers with powerful new options to run their most demanding scale-out workloads.”</p>\n<p>The industry-leading2&nbsp;3rd Gen AMD EPYC processors allow Google Cloud customers to seamlessly integrate workloads with their existing x86 ecosystems, enabling applications and frameworks to work with the T2D instances. The new instances are offered in eight different predefined VM shapes, with up to 60 vCPUs per VM, and up to 4GB of memory per vCPU, making this technology ideal for scale-out workloads.</p>\n<p>AMD EPYC processors power numerous instances at Google Cloud that support workloads including compute optimized, general purpose, high-performance and confidential computing. These instances are used by well-known cloud-native companies, spanning multiple industries, providing high-performance cloud instances for their workloads.</p>\n<p>T2D instances will be available in Q3 and customers can sign up for a preview here.</p>\n<h3>Supporting Resources</h3>\n<ul>\n <li>\n  <ul>\n   <li>Learn more about AMD EPYC Processors</li>\n   <li>See demos, videos and more about the AMD EPYC 7003 series processors</li>\n   <li>Learn more about the Google T2D Instance and Tau VMs</li>\n   <li>Follow AMD on <a href=\"https://laohu8.com/S/TWTR\">Twitter</a></li>\n  </ul></li>\n</ul>\n<h3>About AMD</h3>\n<p>For more than 50 years AMD has driven innovation in high-performance computing, graphics and visualization technologies ― the building blocks for gaming, immersive platforms and the datacenter. Hundreds of millions of consumers, leading Fortune 500 businesses and cutting-edge scientific research facilities around the world rely on AMD technology daily to improve how they live, work and play. AMD employees around the world are focused on building great products that push the boundaries of what is possible. For more information about how AMD is enabling today and inspiring tomorrow, visit the AMD (NASDAQ: AMD) website, blog, <a href=\"https://laohu8.com/S/FB\">Facebook</a> and Twitter pages.</p>","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>Google Selects 3rd Gen AMD EPYC™ Processors to Launch First Tau VM Instance</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\">\nGoogle Selects 3rd Gen AMD EPYC™ Processors to Launch First Tau VM Instance\n</h2>\n\n<h4 class=\"meta\">\n\n\n<div class=\"head\" \">\n\n\n<div class=\"h-thumb\" style=\"background-image:url(https://static.tigerbbs.com/d091d76cf1bfa1d333bf377a4304e13d);background-size:cover;\"></div>\n\n<div class=\"h-content\">\n<p class=\"h-name\">AMD官方ir </p>\n<p class=\"h-time\">2021-06-17 22:32</p>\n</div>\n\n</div>\n\n\n</h4>\n\n</header>\n<article>\n<p><a href=\"https://laohu8.com/S/AMD\">AMD</a> (NASDAQ: AMD) and Google Cloud today announced T2D, the first instance in the new family of Tau Virtual Machines (VMs) powered by 3rd Gen AMD EPYC™ processors. According to Google Cloud, the T2D instance offers 56% higher absolute performance and more than 40% higher price performance for scale-out workloads1.</p>\n<p>The Tau VM family provides customers with a leading combination of performance, price, and easy integration. The T2D instances, using the leadership performance of 3rd Gen AMD EPYC processors, excels at workloads including web servers, containerized microservices, data logging-processing, large scale Java® applications and more.</p>\n<p>“At Google Cloud, our customers’ compute needs are evolving,” said Thomas Kurian, CEO of Google Cloud. “By collaborating with AMD, Google Cloud customers can now leverage amazing performance for scale-out applications, with great price-performance, all without compromising x86 compatibility.”</p>\n<p>“We designed 3rd Gen AMD EPYC processors to meet the growing demand from cloud and enterprise customers for high-performance, cost-effective solutions with optimal TCO,” said AMD President and CEO Dr. Lisa Su. “We work closely with Google Cloud and are proud they selected AMD to exclusively power the new Tau VM T2D instance which provides customers with powerful new options to run their most demanding scale-out workloads.”</p>\n<p>The industry-leading2&nbsp;3rd Gen AMD EPYC processors allow Google Cloud customers to seamlessly integrate workloads with their existing x86 ecosystems, enabling applications and frameworks to work with the T2D instances. The new instances are offered in eight different predefined VM shapes, with up to 60 vCPUs per VM, and up to 4GB of memory per vCPU, making this technology ideal for scale-out workloads.</p>\n<p>AMD EPYC processors power numerous instances at Google Cloud that support workloads including compute optimized, general purpose, high-performance and confidential computing. These instances are used by well-known cloud-native companies, spanning multiple industries, providing high-performance cloud instances for their workloads.</p>\n<p>T2D instances will be available in Q3 and customers can sign up for a preview here.</p>\n<h3>Supporting Resources</h3>\n<ul>\n <li>\n  <ul>\n   <li>Learn more about AMD EPYC Processors</li>\n   <li>See demos, videos and more about the AMD EPYC 7003 series processors</li>\n   <li>Learn more about the Google T2D Instance and Tau VMs</li>\n   <li>Follow AMD on <a href=\"https://laohu8.com/S/TWTR\">Twitter</a></li>\n  </ul></li>\n</ul>\n<h3>About AMD</h3>\n<p>For more than 50 years AMD has driven innovation in high-performance computing, graphics and visualization technologies ― the building blocks for gaming, immersive platforms and the datacenter. Hundreds of millions of consumers, leading Fortune 500 businesses and cutting-edge scientific research facilities around the world rely on AMD technology daily to improve how they live, work and play. AMD employees around the world are focused on building great products that push the boundaries of what is possible. For more information about how AMD is enabling today and inspiring tomorrow, visit the AMD (NASDAQ: AMD) website, blog, <a href=\"https://laohu8.com/S/FB\">Facebook</a> and Twitter pages.</p>\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"AMD":"美国超微公司","GOOG":"谷歌"},"is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"2144374429","content_text":"AMD (NASDAQ: AMD) and Google Cloud today announced T2D, the first instance in the new family of Tau Virtual Machines (VMs) powered by 3rd Gen AMD EPYC™ processors. According to Google Cloud, the T2D instance offers 56% higher absolute performance and more than 40% higher price performance for scale-out workloads1.\nThe Tau VM family provides customers with a leading combination of performance, price, and easy integration. The T2D instances, using the leadership performance of 3rd Gen AMD EPYC processors, excels at workloads including web servers, containerized microservices, data logging-processing, large scale Java® applications and more.\n“At Google Cloud, our customers’ compute needs are evolving,” said Thomas Kurian, CEO of Google Cloud. “By collaborating with AMD, Google Cloud customers can now leverage amazing performance for scale-out applications, with great price-performance, all without compromising x86 compatibility.”\n“We designed 3rd Gen AMD EPYC processors to meet the growing demand from cloud and enterprise customers for high-performance, cost-effective solutions with optimal TCO,” said AMD President and CEO Dr. Lisa Su. “We work closely with Google Cloud and are proud they selected AMD to exclusively power the new Tau VM T2D instance which provides customers with powerful new options to run their most demanding scale-out workloads.”\nThe industry-leading2 3rd Gen AMD EPYC processors allow Google Cloud customers to seamlessly integrate workloads with their existing x86 ecosystems, enabling applications and frameworks to work with the T2D instances. The new instances are offered in eight different predefined VM shapes, with up to 60 vCPUs per VM, and up to 4GB of memory per vCPU, making this technology ideal for scale-out workloads.\nAMD EPYC processors power numerous instances at Google Cloud that support workloads including compute optimized, general purpose, high-performance and confidential computing. These instances are used by well-known cloud-native companies, spanning multiple industries, providing high-performance cloud instances for their workloads.\nT2D instances will be available in Q3 and customers can sign up for a preview here.\nSupporting Resources\n\n\n\nLearn more about AMD EPYC Processors\nSee demos, videos and more about the AMD EPYC 7003 series processors\nLearn more about the Google T2D Instance and Tau VMs\nFollow AMD on Twitter\n\n\nAbout AMD\nFor more than 50 years AMD has driven innovation in high-performance computing, graphics and visualization technologies ― the building blocks for gaming, immersive platforms and the datacenter. Hundreds of millions of consumers, leading Fortune 500 businesses and cutting-edge scientific research facilities around the world rely on AMD technology daily to improve how they live, work and play. AMD employees around the world are focused on building great products that push the boundaries of what is possible. For more information about how AMD is enabling today and inspiring tomorrow, visit the AMD (NASDAQ: AMD) website, blog, Facebook and Twitter pages.","news_type":1},"isVote":1,"tweetType":1,"viewCount":407,"commentLimit":10,"likeStatus":false,"favoriteStatus":false,"reportStatus":false,"symbols":[],"verified":2,"subType":0,"readableState":1,"langContent":"EN","currentLanguage":"EN","warmUpFlag":false,"orderFlag":false,"shareable":true,"causeOfNotShareable":"","featuresForAnalytics":[],"commentAndTweetFlag":false,"upFlag":false,"length":14,"xxTargetLangEnum":"ORIG"},"commentList":[{"id":4846060,"gmtCreate":1623948473965,"gmtModify":1663229188927,"authorId":3568326695373786,"author":{"id":3568326695373786,"authorId":3568326695373786,"name":"KennethM","avatar":"https://static.tigerbbs.com/b5c1d63e5cb5064f84c7251e09ad63e7","vip":1,"crmLevel":5,"crmLevelSwitch":0,"individualDisplayBadges":[]},"repliedAuthorId":0,"objectId":168000628,"type":1,"supId":0,"prevId":0,"content":"Done","text":"Done","html":"Done","likeSize":0,"commentSize":0,"subComments":[],"verified":10,"allocateAmount":0,"commentType":"invalid","coins":0,"score":0}],"hasMoreComment":true,"orderType":2}