+Follow
gordieeee
No personal profile
45
Follow
1
Followers
0
Topic
0
Badge
Posts
Hot
gordieeee
02-16
so we dumping?
Nvidia: UBS Note Should Raise Alarms
gordieeee
2023-10-22
so NVDA back to 470 this week?
NVDA Stock: X Reasons Why This AI Chipmaker Is Poised to Dominate the Future
Go to Tiger App to see more news
{"i18n":{"language":"en_US"},"userPageInfo":{"id":"3570538196138899","uuid":"3570538196138899","gmtCreate":1607444622720,"gmtModify":1607444622720,"name":"gordieeee","pinyin":"gordieeee","introduction":"","introductionEn":"","signature":"","avatar":"https://static.laohu8.com/default-avatar.jpg","hat":null,"hatId":null,"hatName":null,"vip":1,"status":2,"fanSize":1,"headSize":45,"tweetSize":2,"questionSize":0,"limitLevel":999,"accountStatus":4,"level":{"id":0,"name":"","nameTw":"","represent":"","factor":"","iconColor":"","bgColor":""},"themeCounts":0,"badgeCounts":0,"badges":[],"moderator":false,"superModerator":false,"manageSymbols":null,"badgeLevel":null,"boolIsFan":false,"boolIsHead":false,"favoriteSize":0,"symbols":null,"coverImage":null,"realNameVerified":"success","userBadges":[{"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,"redirectLink":null,"hasAllocated":1,"isWearing":0,"stamp":null,"stampPosition":0,"hasStamp":0,"allocationCount":1,"allocatedDate":"2023.09.11","exceedPercentage":null,"individualDisplayEnabled":0,"backgroundColor":null,"fontColor":null,"individualDisplaySort":0,"categoryType":1001},{"badgeId":"44212b71d0be4ec88898348dbe882e03-3","templateUuid":"44212b71d0be4ec88898348dbe882e03","name":"President Tiger","description":"The transaction amount of the securities account reaches $1,000,000","bigImgUrl":"https://static.tigerbbs.com/fbeac6bb240db7da8b972e5183d050ba","smallImgUrl":"https://static.tigerbbs.com/436cdf80292b99f0a992e78750ac4e3a","grayImgUrl":"https://static.tigerbbs.com/506a259a7b456f037592c3b23c779599","redirectLinkEnabled":0,"redirectLink":null,"hasAllocated":1,"isWearing":0,"stamp":null,"stampPosition":0,"hasStamp":0,"allocationCount":1,"allocatedDate":"2021.12.22","exceedPercentage":"93.92%","individualDisplayEnabled":0,"backgroundColor":null,"fontColor":null,"individualDisplaySort":0,"categoryType":1101},{"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,"redirectLink":null,"hasAllocated":1,"isWearing":0,"stamp":null,"stampPosition":0,"hasStamp":0,"allocationCount":1,"allocatedDate":"2021.12.21","exceedPercentage":null,"individualDisplayEnabled":0,"backgroundColor":null,"fontColor":null,"individualDisplaySort":0,"categoryType":1102},{"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,"redirectLink":null,"hasAllocated":1,"isWearing":0,"stamp":null,"stampPosition":0,"hasStamp":0,"allocationCount":1,"allocatedDate":"2021.12.21","exceedPercentage":null,"individualDisplayEnabled":0,"backgroundColor":null,"fontColor":null,"individualDisplaySort":0,"categoryType":1100},{"badgeId":"972123088c9646f7b6091ae0662215be-3","templateUuid":"972123088c9646f7b6091ae0662215be","name":"Legendary Trader","description":"Total number of securities or futures transactions reached 300","bigImgUrl":"https://static.tigerbbs.com/656db16598a0b8f21429e10d6c1cb033","smallImgUrl":"https://static.tigerbbs.com/03f10910d4dd9234f9b5702a3342193a","grayImgUrl":"https://static.tigerbbs.com/0c767e35268feb729d50d3fa9a386c5a","redirectLinkEnabled":0,"redirectLink":null,"hasAllocated":1,"isWearing":0,"stamp":null,"stampPosition":0,"hasStamp":0,"allocationCount":1,"allocatedDate":"2021.12.21","exceedPercentage":"93.47%","individualDisplayEnabled":0,"backgroundColor":null,"fontColor":null,"individualDisplaySort":0,"categoryType":1100}],"userBadgeCount":5,"currentWearingBadge":null,"individualDisplayBadges":null,"crmLevel":9,"crmLevelSwitch":0,"location":null,"starInvestorFollowerNum":0,"starInvestorFlag":false,"starInvestorOrderShareNum":0,"subscribeStarInvestorNum":13,"ror":null,"winRationPercentage":null,"showRor":false,"investmentPhilosophy":null,"starInvestorSubscribeFlag":false},"baikeInfo":{},"tab":"post","tweets":[{"id":274517256614104,"gmtCreate":1708058764835,"gmtModify":1708058897805,"author":{"id":"3570538196138899","authorId":"3570538196138899","name":"gordieeee","avatar":"https://static.laohu8.com/default-avatar.jpg","crmLevel":9,"crmLevelSwitch":0,"followedFlag":false,"idStr":"3570538196138899","authorIdStr":"3570538196138899"},"themes":[],"htmlText":"so we dumping?","listText":"so we dumping?","text":"so we dumping?","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/274517256614104","repostId":"2411254211","repostType":2,"repost":{"id":"2411254211","kind":"highlight","pubTimestamp":1708052170,"share":"https://ttm.financial/m/news/2411254211?lang=&edition=fundamental","pubTime":"2024-02-16 10:56","market":"us","language":"en","title":"Nvidia: UBS Note Should Raise Alarms","url":"https://stock-news.laohu8.com/highlight/detail?id=2411254211","media":"seekingalpha","summary":"It's necessary either for future production capacity increases to be outstripping future orders, or maybe also for Nvidia to be shipping product in excess of the orders being received. Or, given the extreme drop in lead times , likely both. Now, remember that shipments on a given quarter are satisfying both backlog and new orders. If lead times drop to the point where backlog disappears, then shipments would fall to just new orders, which are highly likely to be lower than backlog + new orders. This, in turn, would mean that in the quarter Nvidia eliminates its lead times (or just gets clos","content":"<html><head></head><body><ul style=\"\"><li><p>UBS raises Nvidia Corporation's earnings estimates and price target, but warns of near-term trouble for growth due to decreased lead times.</p></li><li><p>Nvidia's lead times for GPU orders have decreased from 8-11 months to just 3-4 months, indicating a potential future sequential growth peak.</p></li><li><p>While Nvidia's current growth appears strong, the stock may not be priced for the end of its growth, posing a risk for investors.</p></li></ul><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/7116b6db68d0a3be5daad1ec2b4f7589\" tg-width=\"594\" tg-height=\"395\"/></p><p>SOPA Images/LightRocket via Getty Images</p><p>Here's something interesting. UBS just published a bullish note on Nvidia Corporation, on which it increased both NVDA's earnings estimates and price target, to $850.</p><p>Yet, at the same time, it's easy to argue that this note ought to raise investors' alarms. This is so because something within the note points to near-term trouble for NVDA's growth. And of course, NVDA stock will fare quite poorly if its growth suddenly stops. Let me explain.</p><h2 id=\"id_3354737526\">Lead Times As Per UBS</h2><p>As it turns out, while putting out its bullish note, UBS also claimed that over the past few months, Nvidia's lead times have come in substantially, to just 3-4 months now.</p><p>Now, what does this mean? It means that someone ordering GPUs for AI compute right now, can expect them to be delivered in 3-4 months.</p><p>Late last year, according to other sources, these lead times were much, much larger. As much as 36-52 weeks. That's 8-11 months.</p><blockquote><p>Having earned $14.5 billion on datacenter hardware in the third quarter of fiscal 2024, Nvidia clearly sold a boatload of its H100 GPUs for artificial intelligence (AI) and high-performance computing (HPC). Omdia says that Nvidia sold nearly half a million A100 and H100 GPUs, and demand for these products is so high that the lead time of H100-based servers is from 36 to 52 weeks.</p></blockquote><p>Thus, in just 3-4 months at most, it seems evident Nvidia's lead times went from 8-11 months to just 3 months.</p><h2 id=\"id_3626460485\">What Does This Mean?</h2><p>Think about how Nvidia satisfies GPU orders:</p><ul style=\"\"><li><p>On any given quarter, Nvidia has a given production capacity (dictated by its suppliers' capacity, mostly)</p></li><li><p>On any given quarter, Nvidia is shipping against both past (backlog) and new orders for its GPUs.</p></li><li><p>Also, on any given (and future) quarters, production capacity isn't static. Nvidia is pushing its suppliers to be able to produce more and more GPUs.</p></li></ul><p>However, what does it take for lead times to decrease? It's necessary either for future production capacity increases to be outstripping future orders, or maybe also for Nvidia to be shipping product in excess of the orders being received. Or, given the extreme drop in lead times (from 8-12 months to just 3-4 months in just 3-4 months at most), likely both.</p><p>Now, remember that shipments on a given quarter are satisfying both backlog and new orders. If lead times drop to the point where backlog disappears, then shipments would fall to just new orders, which are highly likely to be lower than backlog + new orders.</p><p>This, in turn, would mean that in the quarter Nvidia eliminates its lead times (or just gets close to eliminating, since there are always delays), such will appear as a sequential drop in revenues. That is, at that point, growth will be gone.</p><p>Now, obviously, Nvidia isn't priced for such an event. Consider the existing consensus:</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/4b27a1d90f5d8af00077bdeb04e42a0d\" tg-width=\"640\" tg-height=\"227\"/></p><p>Seeking Alpha</p><p>There's not a single quarter-on-quarter drop in expected revenues up to the January 2026 quarter -- 9 quarters into the future.</p><p>Yet, apparently more than half of the lead time was eaten in a single quarter. Meaning, we could be just 2-3 quarters away from such a negative event (end of sequential growth). And therein lies the trouble, as the stock isn't priced for its growth to end.</p><h2 id=\"id_2954461534\">This Means Little For Near-Term Growth And Earnings</h2><p>Notice, however, that this rapid decline in lead times also comes from expanded production capacity. And that while such expanded production capacity hastens the inevitable end to growth, it also greatly increases the current apparent growth, revenues and earnings, since it allows more of the backlog to be shipped in the current and immediate quarter(s)!</p><p>That is, while NVDA is plunging headlong into the end of its growth, the very dynamics which take it to this event faster, also make current growth, revenue levels and earnings higher.</p><p>It's still quite possible that NVDA will thus have another monster revenue and EPS beat when it reports Q4 FY2024 on February 21st, as well as strong guidance for Q1 FY2025. And only when it reports Q1 FY2025 and guides for Q2 FY2025, will the risk from these observations really start being felt. And that's nearly 4 months away.</p><p>Still, often the market starts discounting problems before they arrive. And here, the problem does seem to be arriving.</p><h2 id=\"id_1739033630\">This Doesn't Mean The End Of AI Growth</h2><p>Another important thing to take notice, is that NVDA's quarterly revenues (and earnings) peaking don't mean that AI capacity will stop growing. It won't. All the GPUs Nvidia will keep on shipping will continue to add to an installed GPU base, even if the number of shipped GPUs stagnates or falls qoq (quarter-on-quarter, sequentially).</p><p>Moreover, Nvidia's many competitors (AMD, META, GOOG, etc.) will also be adding to that base, through their own chip sales and orders.</p><p>Thus, AI capacity (for training, inference) continuing to grow is quite different from NVDA continuing to grow.</p><h2 id=\"id_3639032349\">Conclusion</h2><p>Nvidia lead times decreasing is genuine bad news for Nvidia in the "medium" term (2-3 quarters out). Nvidia right now is shipping both against backlog and new orders. Once lead times decrease to close to zero, Nvidia will be shipping only against new orders, which will tend to represent a lower revenue level when compared to shipping to backlog+new orders.</p><p>Nvidia's exhaustion of its backlog seems set to happen 2-3 quarters into the future, given that according to UBS, Nvidia turned a 8-11 month backlog into a 3-4 month backlog in just 3-4 months.</p><p>Nvidia's consensus doesn't include any end to the QOQ growth even looking 9 quarters out, hence this event materializing would be quite negative for Nvidia stock.</p><p>At the same time, though, increases in Nvidia's capacity to deliver GPUs, which will also be helping in reducing the backlog, mean that in the short-term (1-2 quarters), Nvidia might well continue to beat and raise estimates.</p><p>Still, with Nvidia having ascended to the 3rd largest market cap in the US markets based on discounting ceaseless growth into the future, caution is certainly warranted as there's clear risk this ceaseless (sequential) growth will cease in the near future.</p></body></html>","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>Nvidia: UBS Note Should Raise Alarms</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\">\nNvidia: UBS Note Should Raise Alarms\n</h2>\n\n<h4 class=\"meta\">\n\n\n2024-02-16 10:56 GMT+8 <a href=https://seekingalpha.com/article/4670524-nvidia-ubs-note-should-raise-alarms><strong>seekingalpha</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>UBS raises Nvidia Corporation's earnings estimates and price target, but warns of near-term trouble for growth due to decreased lead times.Nvidia's lead times for GPU orders have decreased from 8-11 ...</p>\n\n<a href=\"https://seekingalpha.com/article/4670524-nvidia-ubs-note-should-raise-alarms\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"LU0079474960.USD":"联博美国增长基金A","LU0642271901.SGD":"Janus Henderson Horizon Global Technology Leaders A2 SGD-H","LU0053666078.USD":"摩根大通基金-美国股票A（离岸）美元","LU0082616367.USD":"摩根大通美国科技A（dist）","GB00BDT5M118.USD":"天利环球扩展Alpha基金A Acc","BK4543":"AI","LU0056508442.USD":"贝莱德世界科技基金A2","IE00B19Z9505.USD":"美盛-美国大盘成长股A Acc","BK4559":"巴菲特持仓","IE00B1XK9C88.USD":"PINEBRIDGE US LARGE CAP RESEARCH ENHANCED \"A\" (USD) ACC","BK4550":"红杉资本持仓","LU0061474960.USD":"天利环球焦点基金AU Acc","LU0353189680.USD":"富国美国全盘成长基金Cl A Acc","IE00BJJMRY28.SGD":"Janus Henderson Balanced A Inc SGD","BK4141":"半导体产品","LU0820561909.HKD":"ALLIANZ INCOME AND GROWTH \"AM\" (HKD) INC","IE00BKDWB100.SGD":"PINEBRIDGE US LARGE CAP RESEARCH ENHANCED \"A5H\" (SGDHDG) ACC","LU0109392836.USD":"富兰克林科技股A","LU0109391861.USD":"富兰克林美国机遇基金A Acc","BK4551":"寇图资本持仓","LU0353189763.USD":"ALLSPRING US ALL CAP GROWTH FUND \"I\" (USD) ACC","IE0004445015.USD":"JANUS HENDERSON BALANCED \"A2\" (USD) ACC","LU0170899867.USD":"EASTSPRING INVESTMENTS WORLD VALUE EQUITY \"A\" (USD) ACC","LU0097036916.USD":"贝莱德美国增长A2 USD","LU0466842654.USD":"HSBC ISLAMIC GLOBAL EQUITY INDEX \"A\" (USD) ACC","LU0689472784.USD":"安联收益及增长基金Cl AM AT Acc","BK4549":"软银资本持仓","IE00B1BXHZ80.USD":"Legg Mason ClearBridge - US Appreciation A Acc USD","BK4548":"巴美列捷福持仓","IE00BD6J9T35.USD":"NEUBERGER BERMAN NEXT GENERATION MOBILITY \"A\" (USD) ACC","LU0061475181.USD":"THREADNEEDLE (LUX) AMERICAN \"AU\" (USD) ACC","LU0316494557.USD":"FRANKLIN GLOBAL FUNDAMENTAL STRATEGIES \"A\" ACC","IE00BFSS8Q28.SGD":"Janus Henderson Balanced A Inc SGD-H","IE0034235188.USD":"PINEBRIDGE GLOBAL FOCUS EQUITY \"A\" (USD) ACC","LU0820561818.USD":"安联收益及增长平衡基金Cl AM DIS","LU0708995401.HKD":"FRANKLIN U.S. OPPORTUNITIES \"A\" (HKD) ACC","BK4532":"文艺复兴科技持仓","BK4554":"元宇宙及AR概念","LU0127658192.USD":"EASTSPRING INVESTMENTS GLOBAL TECHNOLOGY \"A\" (USD) ACC","LU0256863811.USD":"ALLIANZ US EQUITY \"A\" INC","IE0009356076.USD":"JANUS HENDERSON GLOBAL TECHNOLOGY AND INNOVATION \"A2\" (USD) ACC","IE00B7KXQ091.USD":"Janus Henderson Balanced A Inc USD","LU0348723411.USD":"ALLIANZ GLOBAL HI-TECH GROWTH \"A\" (USD) INC","BK4534":"瑞士信贷持仓","NVDA":"英伟达","BK4567":"ESG概念","BK4533":"AQR资本管理(全球第二大对冲基金)","IE0004445239.USD":"JANUS HENDERSON US FORTY \"A2\" (USD) ACC","IE00BJJMRX11.SGD":"Janus Henderson Balanced A Acc SGD"},"source_url":"https://seekingalpha.com/article/4670524-nvidia-ubs-note-should-raise-alarms","is_english":true,"share_image_url":"https://static.laohu8.com/5a36db9d73b4222bc376d24ccc48c8a4","article_id":"2411254211","content_text":"UBS raises Nvidia Corporation's earnings estimates and price target, but warns of near-term trouble for growth due to decreased lead times.Nvidia's lead times for GPU orders have decreased from 8-11 months to just 3-4 months, indicating a potential future sequential growth peak.While Nvidia's current growth appears strong, the stock may not be priced for the end of its growth, posing a risk for investors.SOPA Images/LightRocket via Getty ImagesHere's something interesting. UBS just published a bullish note on Nvidia Corporation, on which it increased both NVDA's earnings estimates and price target, to $850.Yet, at the same time, it's easy to argue that this note ought to raise investors' alarms. This is so because something within the note points to near-term trouble for NVDA's growth. And of course, NVDA stock will fare quite poorly if its growth suddenly stops. Let me explain.Lead Times As Per UBSAs it turns out, while putting out its bullish note, UBS also claimed that over the past few months, Nvidia's lead times have come in substantially, to just 3-4 months now.Now, what does this mean? It means that someone ordering GPUs for AI compute right now, can expect them to be delivered in 3-4 months.Late last year, according to other sources, these lead times were much, much larger. As much as 36-52 weeks. That's 8-11 months.Having earned $14.5 billion on datacenter hardware in the third quarter of fiscal 2024, Nvidia clearly sold a boatload of its H100 GPUs for artificial intelligence (AI) and high-performance computing (HPC). Omdia says that Nvidia sold nearly half a million A100 and H100 GPUs, and demand for these products is so high that the lead time of H100-based servers is from 36 to 52 weeks.Thus, in just 3-4 months at most, it seems evident Nvidia's lead times went from 8-11 months to just 3 months.What Does This Mean?Think about how Nvidia satisfies GPU orders:On any given quarter, Nvidia has a given production capacity (dictated by its suppliers' capacity, mostly)On any given quarter, Nvidia is shipping against both past (backlog) and new orders for its GPUs.Also, on any given (and future) quarters, production capacity isn't static. Nvidia is pushing its suppliers to be able to produce more and more GPUs.However, what does it take for lead times to decrease? It's necessary either for future production capacity increases to be outstripping future orders, or maybe also for Nvidia to be shipping product in excess of the orders being received. Or, given the extreme drop in lead times (from 8-12 months to just 3-4 months in just 3-4 months at most), likely both.Now, remember that shipments on a given quarter are satisfying both backlog and new orders. If lead times drop to the point where backlog disappears, then shipments would fall to just new orders, which are highly likely to be lower than backlog + new orders.This, in turn, would mean that in the quarter Nvidia eliminates its lead times (or just gets close to eliminating, since there are always delays), such will appear as a sequential drop in revenues. That is, at that point, growth will be gone.Now, obviously, Nvidia isn't priced for such an event. Consider the existing consensus:Seeking AlphaThere's not a single quarter-on-quarter drop in expected revenues up to the January 2026 quarter -- 9 quarters into the future.Yet, apparently more than half of the lead time was eaten in a single quarter. Meaning, we could be just 2-3 quarters away from such a negative event (end of sequential growth). And therein lies the trouble, as the stock isn't priced for its growth to end.This Means Little For Near-Term Growth And EarningsNotice, however, that this rapid decline in lead times also comes from expanded production capacity. And that while such expanded production capacity hastens the inevitable end to growth, it also greatly increases the current apparent growth, revenues and earnings, since it allows more of the backlog to be shipped in the current and immediate quarter(s)!That is, while NVDA is plunging headlong into the end of its growth, the very dynamics which take it to this event faster, also make current growth, revenue levels and earnings higher.It's still quite possible that NVDA will thus have another monster revenue and EPS beat when it reports Q4 FY2024 on February 21st, as well as strong guidance for Q1 FY2025. And only when it reports Q1 FY2025 and guides for Q2 FY2025, will the risk from these observations really start being felt. And that's nearly 4 months away.Still, often the market starts discounting problems before they arrive. And here, the problem does seem to be arriving.This Doesn't Mean The End Of AI GrowthAnother important thing to take notice, is that NVDA's quarterly revenues (and earnings) peaking don't mean that AI capacity will stop growing. It won't. All the GPUs Nvidia will keep on shipping will continue to add to an installed GPU base, even if the number of shipped GPUs stagnates or falls qoq (quarter-on-quarter, sequentially).Moreover, Nvidia's many competitors (AMD, META, GOOG, etc.) will also be adding to that base, through their own chip sales and orders.Thus, AI capacity (for training, inference) continuing to grow is quite different from NVDA continuing to grow.ConclusionNvidia lead times decreasing is genuine bad news for Nvidia in the \"medium\" term (2-3 quarters out). Nvidia right now is shipping both against backlog and new orders. Once lead times decrease to close to zero, Nvidia will be shipping only against new orders, which will tend to represent a lower revenue level when compared to shipping to backlog+new orders.Nvidia's exhaustion of its backlog seems set to happen 2-3 quarters into the future, given that according to UBS, Nvidia turned a 8-11 month backlog into a 3-4 month backlog in just 3-4 months.Nvidia's consensus doesn't include any end to the QOQ growth even looking 9 quarters out, hence this event materializing would be quite negative for Nvidia stock.At the same time, though, increases in Nvidia's capacity to deliver GPUs, which will also be helping in reducing the backlog, mean that in the short-term (1-2 quarters), Nvidia might well continue to beat and raise estimates.Still, with Nvidia having ascended to the 3rd largest market cap in the US markets based on discounting ceaseless growth into the future, caution is certainly warranted as there's clear risk this ceaseless (sequential) growth will cease in the near future.","news_type":1},"isVote":1,"tweetType":1,"viewCount":101,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":233116782657664,"gmtCreate":1697941856451,"gmtModify":1697944252518,"author":{"id":"3570538196138899","authorId":"3570538196138899","name":"gordieeee","avatar":"https://static.laohu8.com/default-avatar.jpg","crmLevel":9,"crmLevelSwitch":0,"followedFlag":false,"idStr":"3570538196138899","authorIdStr":"3570538196138899"},"themes":[],"htmlText":"so NVDA back to 470 this week?","listText":"so NVDA back to 470 this week?","text":"so NVDA back to 470 this week?","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":3,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/233116782657664","repostId":"2376129245","repostType":2,"repost":{"id":"2376129245","kind":"highlight","pubTimestamp":1697941444,"share":"https://ttm.financial/m/news/2376129245?lang=&edition=fundamental","pubTime":"2023-10-22 10:24","market":"us","language":"en","title":"NVDA Stock: X Reasons Why This AI Chipmaker Is Poised to Dominate the Future","url":"https://stock-news.laohu8.com/highlight/detail?id=2376129245","media":"InvestorPlace","summary":"Over the long term, NVDA stock will be tremendously boosted by multiple, positive, non-cyclical catalysts.","content":"<html><head></head><body><ul style=\"\"><li><p>Over the long term, <strong>Nvidia</strong> (<strong><u>NVDA</u></strong>) stock will be tremendously boosted by multiple positive, non-cyclical catalysts.</p></li><li><p>Given its first-mover advantage in the space, the company’s dominance in AI chips could last many years.</p></li><li><p> The growth of the Internet of Things trend will also boost NVDA stock.</p></li></ul><p><strong>Nvidia </strong>(NASDAQ: <strong><u>NVDA</u></strong>) has become the runaway leader in providing computer chips that enable artificial intelligence, and many, if not most, significant companies globally are embracing AI. Also noteworthy is that NVDA stock has a significant first-mover advantage in the battle to become the preeminent provider of AI chips.</p><p>Moreover, AI is increasingly being used by data centers, from whom Nvidia generates a great deal of its revenue, and the Internet of Things phenomenon will also help Nvidia.</p><p>So, although NVDA stock may not go straight up going forward, given its elevated valuation, the shares should climb a great deal over the long term as the company largely dominates the future of AI.</p><h2 id=\"id_3085649197\">The Runaway Leader of the Rapidly Growing AI Chip Space</h2><p>According to one study, Nvidia now provides 95% of the chips that enable machine learning. The latter process enables computers to automatically gain more knowledge, allowing them to become more proficient at answering queries and analyzing data.</p><p>Moreover, Japanese investment bank <strong>Mizuho Securities</strong> reports that Nvidia’s market share in AI chips is about 90%, and the bank predicts that NVDA stock will “generate around $300 billion in AI-specific revenue in 2027.” That year, the bank expects Nvidia’s share of the category will be about 75%.</p><p>“With demand for generative AI accelerating, we see significant opportunities for hardware suppliers powering the higher compute needs for large-language models, particularly AI powerhouse Nvidia,” Mizuho wrote.</p><p>Also noteworthy is that 35% of global companies already utilize AI, while about 50% intend to start by the end of 2023.</p><h2 id=\"id_3530886655\">Nvidia’s First-Mover Advantage Could Be Huge</h2><p>Nvidia’s significant first-mover advantage could enable it to be the runaway leader of the AI space for decades.</p><p>In many other sectors, companies with the first-mover advantage have retained commanding market share for many years, even decades. Among the companies in the latter category are <strong>Amazon</strong> (NASDAQ: <strong><u>AMZN</u></strong>), <strong>Netflix</strong> (NASDAQ: <strong><u>NFLX</u></strong>), and <strong>Uber</strong> (NYSE: <strong><u>UBER</u></strong>)</p><h2 id=\"id_2179817416\">Nvidia’s Revenue From Data Centers Will Be Boosted in More Ways than One</h2><p>Data centers are using many of Nvidia’s chips to facilitate the use of AI by other companies. But data centers are also using AI themselves.</p><p>Indeed, according to the well-respected research firm <strong>Gartner</strong>, they are utilizing AI to help solve many of their problems, such as “increasing inflation, rising energy costs, and persistent labor shortages.” Data centers are also using AI to make their operations more efficient.</p><p>Overall, Nvidia’s sales from data centers soared 171% last quarter versus the same period a year earlier to $10.3 billion.</p><h2 id=\"id_2678697367\">The Internet of Things Trend Is Alive and Well</h2><p>In 2022,” the number of global IoT connections” jumped 18% to 14.3 billion, and<em> IoT Analytics</em> predicts the total will surge an additional 16% this year.</p><p>Nvidia can monetize the Internet of Things trend with its Jetson Nano, a minicomputer that utilizes AI and allows developers to create their own IoT projects. Moreover, the IoT trend increases the total amount of data processed globally, causing data centers to expand and buy more chips from Nvidia.</p><p>Finally, automobiles are an important, rapidly growing sector within IoT, and Nvidia has a robust Automotive unit that sells chips used in vehicles. Given the rapid growth of chip-intensive systems, including ADAS and self-driving applications, in cars, Nvidia’s auto business has a very bright future, in my view.</p></body></html>","source":"investorplace_stock_picks","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>NVDA Stock: X Reasons Why This AI Chipmaker Is Poised to Dominate the Future</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\">\nNVDA Stock: X Reasons Why This AI Chipmaker Is Poised to Dominate the Future\n</h2>\n\n<h4 class=\"meta\">\n\n\n2023-10-22 10:24 GMT+8 <a href=https://investorplace.com/2023/10/nvda-stock-x-reasons-why-this-ai-chipmaker-is-poised-to-dominate-the-future/><strong>InvestorPlace</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Over the long term, Nvidia (NVDA) stock will be tremendously boosted by multiple positive, non-cyclical catalysts.Given its first-mover advantage in the space, the company’s dominance in AI chips ...</p>\n\n<a href=\"https://investorplace.com/2023/10/nvda-stock-x-reasons-why-this-ai-chipmaker-is-poised-to-dominate-the-future/\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"NVDA":"英伟达"},"source_url":"https://investorplace.com/2023/10/nvda-stock-x-reasons-why-this-ai-chipmaker-is-poised-to-dominate-the-future/","is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"2376129245","content_text":"Over the long term, Nvidia (NVDA) stock will be tremendously boosted by multiple positive, non-cyclical catalysts.Given its first-mover advantage in the space, the company’s dominance in AI chips could last many years. The growth of the Internet of Things trend will also boost NVDA stock.Nvidia (NASDAQ: NVDA) has become the runaway leader in providing computer chips that enable artificial intelligence, and many, if not most, significant companies globally are embracing AI. Also noteworthy is that NVDA stock has a significant first-mover advantage in the battle to become the preeminent provider of AI chips.Moreover, AI is increasingly being used by data centers, from whom Nvidia generates a great deal of its revenue, and the Internet of Things phenomenon will also help Nvidia.So, although NVDA stock may not go straight up going forward, given its elevated valuation, the shares should climb a great deal over the long term as the company largely dominates the future of AI.The Runaway Leader of the Rapidly Growing AI Chip SpaceAccording to one study, Nvidia now provides 95% of the chips that enable machine learning. The latter process enables computers to automatically gain more knowledge, allowing them to become more proficient at answering queries and analyzing data.Moreover, Japanese investment bank Mizuho Securities reports that Nvidia’s market share in AI chips is about 90%, and the bank predicts that NVDA stock will “generate around $300 billion in AI-specific revenue in 2027.” That year, the bank expects Nvidia’s share of the category will be about 75%.“With demand for generative AI accelerating, we see significant opportunities for hardware suppliers powering the higher compute needs for large-language models, particularly AI powerhouse Nvidia,” Mizuho wrote.Also noteworthy is that 35% of global companies already utilize AI, while about 50% intend to start by the end of 2023.Nvidia’s First-Mover Advantage Could Be HugeNvidia’s significant first-mover advantage could enable it to be the runaway leader of the AI space for decades.In many other sectors, companies with the first-mover advantage have retained commanding market share for many years, even decades. Among the companies in the latter category are Amazon (NASDAQ: AMZN), Netflix (NASDAQ: NFLX), and Uber (NYSE: UBER)Nvidia’s Revenue From Data Centers Will Be Boosted in More Ways than OneData centers are using many of Nvidia’s chips to facilitate the use of AI by other companies. But data centers are also using AI themselves.Indeed, according to the well-respected research firm Gartner, they are utilizing AI to help solve many of their problems, such as “increasing inflation, rising energy costs, and persistent labor shortages.” Data centers are also using AI to make their operations more efficient.Overall, Nvidia’s sales from data centers soared 171% last quarter versus the same period a year earlier to $10.3 billion.The Internet of Things Trend Is Alive and WellIn 2022,” the number of global IoT connections” jumped 18% to 14.3 billion, and IoT Analytics predicts the total will surge an additional 16% this year.Nvidia can monetize the Internet of Things trend with its Jetson Nano, a minicomputer that utilizes AI and allows developers to create their own IoT projects. Moreover, the IoT trend increases the total amount of data processed globally, causing data centers to expand and buy more chips from Nvidia.Finally, automobiles are an important, rapidly growing sector within IoT, and Nvidia has a robust Automotive unit that sells chips used in vehicles. Given the rapid growth of chip-intensive systems, including ADAS and self-driving applications, in cars, Nvidia’s auto business has a very bright future, in my view.","news_type":1},"isVote":1,"tweetType":1,"viewCount":100,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0}],"hots":[{"id":233116782657664,"gmtCreate":1697941856451,"gmtModify":1697944252518,"author":{"id":"3570538196138899","authorId":"3570538196138899","name":"gordieeee","avatar":"https://static.laohu8.com/default-avatar.jpg","crmLevel":9,"crmLevelSwitch":0,"followedFlag":false,"idStr":"3570538196138899","authorIdStr":"3570538196138899"},"themes":[],"htmlText":"so NVDA back to 470 this week?","listText":"so NVDA back to 470 this week?","text":"so NVDA back to 470 this week?","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":3,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/233116782657664","repostId":"2376129245","repostType":2,"repost":{"id":"2376129245","kind":"highlight","pubTimestamp":1697941444,"share":"https://ttm.financial/m/news/2376129245?lang=&edition=fundamental","pubTime":"2023-10-22 10:24","market":"us","language":"en","title":"NVDA Stock: X Reasons Why This AI Chipmaker Is Poised to Dominate the Future","url":"https://stock-news.laohu8.com/highlight/detail?id=2376129245","media":"InvestorPlace","summary":"Over the long term, NVDA stock will be tremendously boosted by multiple, positive, non-cyclical catalysts.","content":"<html><head></head><body><ul style=\"\"><li><p>Over the long term, <strong>Nvidia</strong> (<strong><u>NVDA</u></strong>) stock will be tremendously boosted by multiple positive, non-cyclical catalysts.</p></li><li><p>Given its first-mover advantage in the space, the company’s dominance in AI chips could last many years.</p></li><li><p> The growth of the Internet of Things trend will also boost NVDA stock.</p></li></ul><p><strong>Nvidia </strong>(NASDAQ: <strong><u>NVDA</u></strong>) has become the runaway leader in providing computer chips that enable artificial intelligence, and many, if not most, significant companies globally are embracing AI. Also noteworthy is that NVDA stock has a significant first-mover advantage in the battle to become the preeminent provider of AI chips.</p><p>Moreover, AI is increasingly being used by data centers, from whom Nvidia generates a great deal of its revenue, and the Internet of Things phenomenon will also help Nvidia.</p><p>So, although NVDA stock may not go straight up going forward, given its elevated valuation, the shares should climb a great deal over the long term as the company largely dominates the future of AI.</p><h2 id=\"id_3085649197\">The Runaway Leader of the Rapidly Growing AI Chip Space</h2><p>According to one study, Nvidia now provides 95% of the chips that enable machine learning. The latter process enables computers to automatically gain more knowledge, allowing them to become more proficient at answering queries and analyzing data.</p><p>Moreover, Japanese investment bank <strong>Mizuho Securities</strong> reports that Nvidia’s market share in AI chips is about 90%, and the bank predicts that NVDA stock will “generate around $300 billion in AI-specific revenue in 2027.” That year, the bank expects Nvidia’s share of the category will be about 75%.</p><p>“With demand for generative AI accelerating, we see significant opportunities for hardware suppliers powering the higher compute needs for large-language models, particularly AI powerhouse Nvidia,” Mizuho wrote.</p><p>Also noteworthy is that 35% of global companies already utilize AI, while about 50% intend to start by the end of 2023.</p><h2 id=\"id_3530886655\">Nvidia’s First-Mover Advantage Could Be Huge</h2><p>Nvidia’s significant first-mover advantage could enable it to be the runaway leader of the AI space for decades.</p><p>In many other sectors, companies with the first-mover advantage have retained commanding market share for many years, even decades. Among the companies in the latter category are <strong>Amazon</strong> (NASDAQ: <strong><u>AMZN</u></strong>), <strong>Netflix</strong> (NASDAQ: <strong><u>NFLX</u></strong>), and <strong>Uber</strong> (NYSE: <strong><u>UBER</u></strong>)</p><h2 id=\"id_2179817416\">Nvidia’s Revenue From Data Centers Will Be Boosted in More Ways than One</h2><p>Data centers are using many of Nvidia’s chips to facilitate the use of AI by other companies. But data centers are also using AI themselves.</p><p>Indeed, according to the well-respected research firm <strong>Gartner</strong>, they are utilizing AI to help solve many of their problems, such as “increasing inflation, rising energy costs, and persistent labor shortages.” Data centers are also using AI to make their operations more efficient.</p><p>Overall, Nvidia’s sales from data centers soared 171% last quarter versus the same period a year earlier to $10.3 billion.</p><h2 id=\"id_2678697367\">The Internet of Things Trend Is Alive and Well</h2><p>In 2022,” the number of global IoT connections” jumped 18% to 14.3 billion, and<em> IoT Analytics</em> predicts the total will surge an additional 16% this year.</p><p>Nvidia can monetize the Internet of Things trend with its Jetson Nano, a minicomputer that utilizes AI and allows developers to create their own IoT projects. Moreover, the IoT trend increases the total amount of data processed globally, causing data centers to expand and buy more chips from Nvidia.</p><p>Finally, automobiles are an important, rapidly growing sector within IoT, and Nvidia has a robust Automotive unit that sells chips used in vehicles. Given the rapid growth of chip-intensive systems, including ADAS and self-driving applications, in cars, Nvidia’s auto business has a very bright future, in my view.</p></body></html>","source":"investorplace_stock_picks","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>NVDA Stock: X Reasons Why This AI Chipmaker Is Poised to Dominate the Future</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\">\nNVDA Stock: X Reasons Why This AI Chipmaker Is Poised to Dominate the Future\n</h2>\n\n<h4 class=\"meta\">\n\n\n2023-10-22 10:24 GMT+8 <a href=https://investorplace.com/2023/10/nvda-stock-x-reasons-why-this-ai-chipmaker-is-poised-to-dominate-the-future/><strong>InvestorPlace</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>Over the long term, Nvidia (NVDA) stock will be tremendously boosted by multiple positive, non-cyclical catalysts.Given its first-mover advantage in the space, the company’s dominance in AI chips ...</p>\n\n<a href=\"https://investorplace.com/2023/10/nvda-stock-x-reasons-why-this-ai-chipmaker-is-poised-to-dominate-the-future/\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"NVDA":"英伟达"},"source_url":"https://investorplace.com/2023/10/nvda-stock-x-reasons-why-this-ai-chipmaker-is-poised-to-dominate-the-future/","is_english":true,"share_image_url":"https://static.laohu8.com/e9f99090a1c2ed51c021029395664489","article_id":"2376129245","content_text":"Over the long term, Nvidia (NVDA) stock will be tremendously boosted by multiple positive, non-cyclical catalysts.Given its first-mover advantage in the space, the company’s dominance in AI chips could last many years. The growth of the Internet of Things trend will also boost NVDA stock.Nvidia (NASDAQ: NVDA) has become the runaway leader in providing computer chips that enable artificial intelligence, and many, if not most, significant companies globally are embracing AI. Also noteworthy is that NVDA stock has a significant first-mover advantage in the battle to become the preeminent provider of AI chips.Moreover, AI is increasingly being used by data centers, from whom Nvidia generates a great deal of its revenue, and the Internet of Things phenomenon will also help Nvidia.So, although NVDA stock may not go straight up going forward, given its elevated valuation, the shares should climb a great deal over the long term as the company largely dominates the future of AI.The Runaway Leader of the Rapidly Growing AI Chip SpaceAccording to one study, Nvidia now provides 95% of the chips that enable machine learning. The latter process enables computers to automatically gain more knowledge, allowing them to become more proficient at answering queries and analyzing data.Moreover, Japanese investment bank Mizuho Securities reports that Nvidia’s market share in AI chips is about 90%, and the bank predicts that NVDA stock will “generate around $300 billion in AI-specific revenue in 2027.” That year, the bank expects Nvidia’s share of the category will be about 75%.“With demand for generative AI accelerating, we see significant opportunities for hardware suppliers powering the higher compute needs for large-language models, particularly AI powerhouse Nvidia,” Mizuho wrote.Also noteworthy is that 35% of global companies already utilize AI, while about 50% intend to start by the end of 2023.Nvidia’s First-Mover Advantage Could Be HugeNvidia’s significant first-mover advantage could enable it to be the runaway leader of the AI space for decades.In many other sectors, companies with the first-mover advantage have retained commanding market share for many years, even decades. Among the companies in the latter category are Amazon (NASDAQ: AMZN), Netflix (NASDAQ: NFLX), and Uber (NYSE: UBER)Nvidia’s Revenue From Data Centers Will Be Boosted in More Ways than OneData centers are using many of Nvidia’s chips to facilitate the use of AI by other companies. But data centers are also using AI themselves.Indeed, according to the well-respected research firm Gartner, they are utilizing AI to help solve many of their problems, such as “increasing inflation, rising energy costs, and persistent labor shortages.” Data centers are also using AI to make their operations more efficient.Overall, Nvidia’s sales from data centers soared 171% last quarter versus the same period a year earlier to $10.3 billion.The Internet of Things Trend Is Alive and WellIn 2022,” the number of global IoT connections” jumped 18% to 14.3 billion, and IoT Analytics predicts the total will surge an additional 16% this year.Nvidia can monetize the Internet of Things trend with its Jetson Nano, a minicomputer that utilizes AI and allows developers to create their own IoT projects. Moreover, the IoT trend increases the total amount of data processed globally, causing data centers to expand and buy more chips from Nvidia.Finally, automobiles are an important, rapidly growing sector within IoT, and Nvidia has a robust Automotive unit that sells chips used in vehicles. Given the rapid growth of chip-intensive systems, including ADAS and self-driving applications, in cars, Nvidia’s auto business has a very bright future, in my view.","news_type":1},"isVote":1,"tweetType":1,"viewCount":100,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0},{"id":274517256614104,"gmtCreate":1708058764835,"gmtModify":1708058897805,"author":{"id":"3570538196138899","authorId":"3570538196138899","name":"gordieeee","avatar":"https://static.laohu8.com/default-avatar.jpg","crmLevel":9,"crmLevelSwitch":0,"followedFlag":false,"idStr":"3570538196138899","authorIdStr":"3570538196138899"},"themes":[],"htmlText":"so we dumping?","listText":"so we dumping?","text":"so we dumping?","images":[],"top":1,"highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"link":"https://ttm.financial/post/274517256614104","repostId":"2411254211","repostType":2,"repost":{"id":"2411254211","kind":"highlight","pubTimestamp":1708052170,"share":"https://ttm.financial/m/news/2411254211?lang=&edition=fundamental","pubTime":"2024-02-16 10:56","market":"us","language":"en","title":"Nvidia: UBS Note Should Raise Alarms","url":"https://stock-news.laohu8.com/highlight/detail?id=2411254211","media":"seekingalpha","summary":"It's necessary either for future production capacity increases to be outstripping future orders, or maybe also for Nvidia to be shipping product in excess of the orders being received. Or, given the extreme drop in lead times , likely both. Now, remember that shipments on a given quarter are satisfying both backlog and new orders. If lead times drop to the point where backlog disappears, then shipments would fall to just new orders, which are highly likely to be lower than backlog + new orders. This, in turn, would mean that in the quarter Nvidia eliminates its lead times (or just gets clos","content":"<html><head></head><body><ul style=\"\"><li><p>UBS raises Nvidia Corporation's earnings estimates and price target, but warns of near-term trouble for growth due to decreased lead times.</p></li><li><p>Nvidia's lead times for GPU orders have decreased from 8-11 months to just 3-4 months, indicating a potential future sequential growth peak.</p></li><li><p>While Nvidia's current growth appears strong, the stock may not be priced for the end of its growth, posing a risk for investors.</p></li></ul><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/7116b6db68d0a3be5daad1ec2b4f7589\" tg-width=\"594\" tg-height=\"395\"/></p><p>SOPA Images/LightRocket via Getty Images</p><p>Here's something interesting. UBS just published a bullish note on Nvidia Corporation, on which it increased both NVDA's earnings estimates and price target, to $850.</p><p>Yet, at the same time, it's easy to argue that this note ought to raise investors' alarms. This is so because something within the note points to near-term trouble for NVDA's growth. And of course, NVDA stock will fare quite poorly if its growth suddenly stops. Let me explain.</p><h2 id=\"id_3354737526\">Lead Times As Per UBS</h2><p>As it turns out, while putting out its bullish note, UBS also claimed that over the past few months, Nvidia's lead times have come in substantially, to just 3-4 months now.</p><p>Now, what does this mean? It means that someone ordering GPUs for AI compute right now, can expect them to be delivered in 3-4 months.</p><p>Late last year, according to other sources, these lead times were much, much larger. As much as 36-52 weeks. That's 8-11 months.</p><blockquote><p>Having earned $14.5 billion on datacenter hardware in the third quarter of fiscal 2024, Nvidia clearly sold a boatload of its H100 GPUs for artificial intelligence (AI) and high-performance computing (HPC). Omdia says that Nvidia sold nearly half a million A100 and H100 GPUs, and demand for these products is so high that the lead time of H100-based servers is from 36 to 52 weeks.</p></blockquote><p>Thus, in just 3-4 months at most, it seems evident Nvidia's lead times went from 8-11 months to just 3 months.</p><h2 id=\"id_3626460485\">What Does This Mean?</h2><p>Think about how Nvidia satisfies GPU orders:</p><ul style=\"\"><li><p>On any given quarter, Nvidia has a given production capacity (dictated by its suppliers' capacity, mostly)</p></li><li><p>On any given quarter, Nvidia is shipping against both past (backlog) and new orders for its GPUs.</p></li><li><p>Also, on any given (and future) quarters, production capacity isn't static. Nvidia is pushing its suppliers to be able to produce more and more GPUs.</p></li></ul><p>However, what does it take for lead times to decrease? It's necessary either for future production capacity increases to be outstripping future orders, or maybe also for Nvidia to be shipping product in excess of the orders being received. Or, given the extreme drop in lead times (from 8-12 months to just 3-4 months in just 3-4 months at most), likely both.</p><p>Now, remember that shipments on a given quarter are satisfying both backlog and new orders. If lead times drop to the point where backlog disappears, then shipments would fall to just new orders, which are highly likely to be lower than backlog + new orders.</p><p>This, in turn, would mean that in the quarter Nvidia eliminates its lead times (or just gets close to eliminating, since there are always delays), such will appear as a sequential drop in revenues. That is, at that point, growth will be gone.</p><p>Now, obviously, Nvidia isn't priced for such an event. Consider the existing consensus:</p><p class=\"t-img-caption\"><img src=\"https://static.tigerbbs.com/4b27a1d90f5d8af00077bdeb04e42a0d\" tg-width=\"640\" tg-height=\"227\"/></p><p>Seeking Alpha</p><p>There's not a single quarter-on-quarter drop in expected revenues up to the January 2026 quarter -- 9 quarters into the future.</p><p>Yet, apparently more than half of the lead time was eaten in a single quarter. Meaning, we could be just 2-3 quarters away from such a negative event (end of sequential growth). And therein lies the trouble, as the stock isn't priced for its growth to end.</p><h2 id=\"id_2954461534\">This Means Little For Near-Term Growth And Earnings</h2><p>Notice, however, that this rapid decline in lead times also comes from expanded production capacity. And that while such expanded production capacity hastens the inevitable end to growth, it also greatly increases the current apparent growth, revenues and earnings, since it allows more of the backlog to be shipped in the current and immediate quarter(s)!</p><p>That is, while NVDA is plunging headlong into the end of its growth, the very dynamics which take it to this event faster, also make current growth, revenue levels and earnings higher.</p><p>It's still quite possible that NVDA will thus have another monster revenue and EPS beat when it reports Q4 FY2024 on February 21st, as well as strong guidance for Q1 FY2025. And only when it reports Q1 FY2025 and guides for Q2 FY2025, will the risk from these observations really start being felt. And that's nearly 4 months away.</p><p>Still, often the market starts discounting problems before they arrive. And here, the problem does seem to be arriving.</p><h2 id=\"id_1739033630\">This Doesn't Mean The End Of AI Growth</h2><p>Another important thing to take notice, is that NVDA's quarterly revenues (and earnings) peaking don't mean that AI capacity will stop growing. It won't. All the GPUs Nvidia will keep on shipping will continue to add to an installed GPU base, even if the number of shipped GPUs stagnates or falls qoq (quarter-on-quarter, sequentially).</p><p>Moreover, Nvidia's many competitors (AMD, META, GOOG, etc.) will also be adding to that base, through their own chip sales and orders.</p><p>Thus, AI capacity (for training, inference) continuing to grow is quite different from NVDA continuing to grow.</p><h2 id=\"id_3639032349\">Conclusion</h2><p>Nvidia lead times decreasing is genuine bad news for Nvidia in the "medium" term (2-3 quarters out). Nvidia right now is shipping both against backlog and new orders. Once lead times decrease to close to zero, Nvidia will be shipping only against new orders, which will tend to represent a lower revenue level when compared to shipping to backlog+new orders.</p><p>Nvidia's exhaustion of its backlog seems set to happen 2-3 quarters into the future, given that according to UBS, Nvidia turned a 8-11 month backlog into a 3-4 month backlog in just 3-4 months.</p><p>Nvidia's consensus doesn't include any end to the QOQ growth even looking 9 quarters out, hence this event materializing would be quite negative for Nvidia stock.</p><p>At the same time, though, increases in Nvidia's capacity to deliver GPUs, which will also be helping in reducing the backlog, mean that in the short-term (1-2 quarters), Nvidia might well continue to beat and raise estimates.</p><p>Still, with Nvidia having ascended to the 3rd largest market cap in the US markets based on discounting ceaseless growth into the future, caution is certainly warranted as there's clear risk this ceaseless (sequential) growth will cease in the near future.</p></body></html>","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>Nvidia: UBS Note Should Raise Alarms</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\">\nNvidia: UBS Note Should Raise Alarms\n</h2>\n\n<h4 class=\"meta\">\n\n\n2024-02-16 10:56 GMT+8 <a href=https://seekingalpha.com/article/4670524-nvidia-ubs-note-should-raise-alarms><strong>seekingalpha</strong></a>\n\n\n</h4>\n\n</header>\n<article>\n<div>\n<p>UBS raises Nvidia Corporation's earnings estimates and price target, but warns of near-term trouble for growth due to decreased lead times.Nvidia's lead times for GPU orders have decreased from 8-11 ...</p>\n\n<a href=\"https://seekingalpha.com/article/4670524-nvidia-ubs-note-should-raise-alarms\">Web Link</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","type":0,"thumbnail":"","relate_stocks":{"LU0079474960.USD":"联博美国增长基金A","LU0642271901.SGD":"Janus Henderson Horizon Global Technology Leaders A2 SGD-H","LU0053666078.USD":"摩根大通基金-美国股票A（离岸）美元","LU0082616367.USD":"摩根大通美国科技A（dist）","GB00BDT5M118.USD":"天利环球扩展Alpha基金A Acc","BK4543":"AI","LU0056508442.USD":"贝莱德世界科技基金A2","IE00B19Z9505.USD":"美盛-美国大盘成长股A Acc","BK4559":"巴菲特持仓","IE00B1XK9C88.USD":"PINEBRIDGE US LARGE CAP RESEARCH ENHANCED \"A\" (USD) ACC","BK4550":"红杉资本持仓","LU0061474960.USD":"天利环球焦点基金AU Acc","LU0353189680.USD":"富国美国全盘成长基金Cl A Acc","IE00BJJMRY28.SGD":"Janus Henderson Balanced A Inc SGD","BK4141":"半导体产品","LU0820561909.HKD":"ALLIANZ INCOME AND GROWTH \"AM\" (HKD) INC","IE00BKDWB100.SGD":"PINEBRIDGE US LARGE CAP RESEARCH ENHANCED \"A5H\" (SGDHDG) ACC","LU0109392836.USD":"富兰克林科技股A","LU0109391861.USD":"富兰克林美国机遇基金A Acc","BK4551":"寇图资本持仓","LU0353189763.USD":"ALLSPRING US ALL CAP GROWTH FUND \"I\" (USD) ACC","IE0004445015.USD":"JANUS HENDERSON BALANCED \"A2\" (USD) ACC","LU0170899867.USD":"EASTSPRING INVESTMENTS WORLD VALUE EQUITY \"A\" (USD) ACC","LU0097036916.USD":"贝莱德美国增长A2 USD","LU0466842654.USD":"HSBC ISLAMIC GLOBAL EQUITY INDEX \"A\" (USD) ACC","LU0689472784.USD":"安联收益及增长基金Cl AM AT Acc","BK4549":"软银资本持仓","IE00B1BXHZ80.USD":"Legg Mason ClearBridge - US Appreciation A Acc USD","BK4548":"巴美列捷福持仓","IE00BD6J9T35.USD":"NEUBERGER BERMAN NEXT GENERATION MOBILITY \"A\" (USD) ACC","LU0061475181.USD":"THREADNEEDLE (LUX) AMERICAN \"AU\" (USD) ACC","LU0316494557.USD":"FRANKLIN GLOBAL FUNDAMENTAL STRATEGIES \"A\" ACC","IE00BFSS8Q28.SGD":"Janus Henderson Balanced A Inc SGD-H","IE0034235188.USD":"PINEBRIDGE GLOBAL FOCUS EQUITY \"A\" (USD) ACC","LU0820561818.USD":"安联收益及增长平衡基金Cl AM DIS","LU0708995401.HKD":"FRANKLIN U.S. OPPORTUNITIES \"A\" (HKD) ACC","BK4532":"文艺复兴科技持仓","BK4554":"元宇宙及AR概念","LU0127658192.USD":"EASTSPRING INVESTMENTS GLOBAL TECHNOLOGY \"A\" (USD) ACC","LU0256863811.USD":"ALLIANZ US EQUITY \"A\" INC","IE0009356076.USD":"JANUS HENDERSON GLOBAL TECHNOLOGY AND INNOVATION \"A2\" (USD) ACC","IE00B7KXQ091.USD":"Janus Henderson Balanced A Inc USD","LU0348723411.USD":"ALLIANZ GLOBAL HI-TECH GROWTH \"A\" (USD) INC","BK4534":"瑞士信贷持仓","NVDA":"英伟达","BK4567":"ESG概念","BK4533":"AQR资本管理(全球第二大对冲基金)","IE0004445239.USD":"JANUS HENDERSON US FORTY \"A2\" (USD) ACC","IE00BJJMRX11.SGD":"Janus Henderson Balanced A Acc SGD"},"source_url":"https://seekingalpha.com/article/4670524-nvidia-ubs-note-should-raise-alarms","is_english":true,"share_image_url":"https://static.laohu8.com/5a36db9d73b4222bc376d24ccc48c8a4","article_id":"2411254211","content_text":"UBS raises Nvidia Corporation's earnings estimates and price target, but warns of near-term trouble for growth due to decreased lead times.Nvidia's lead times for GPU orders have decreased from 8-11 months to just 3-4 months, indicating a potential future sequential growth peak.While Nvidia's current growth appears strong, the stock may not be priced for the end of its growth, posing a risk for investors.SOPA Images/LightRocket via Getty ImagesHere's something interesting. UBS just published a bullish note on Nvidia Corporation, on which it increased both NVDA's earnings estimates and price target, to $850.Yet, at the same time, it's easy to argue that this note ought to raise investors' alarms. This is so because something within the note points to near-term trouble for NVDA's growth. And of course, NVDA stock will fare quite poorly if its growth suddenly stops. Let me explain.Lead Times As Per UBSAs it turns out, while putting out its bullish note, UBS also claimed that over the past few months, Nvidia's lead times have come in substantially, to just 3-4 months now.Now, what does this mean? It means that someone ordering GPUs for AI compute right now, can expect them to be delivered in 3-4 months.Late last year, according to other sources, these lead times were much, much larger. As much as 36-52 weeks. That's 8-11 months.Having earned $14.5 billion on datacenter hardware in the third quarter of fiscal 2024, Nvidia clearly sold a boatload of its H100 GPUs for artificial intelligence (AI) and high-performance computing (HPC). Omdia says that Nvidia sold nearly half a million A100 and H100 GPUs, and demand for these products is so high that the lead time of H100-based servers is from 36 to 52 weeks.Thus, in just 3-4 months at most, it seems evident Nvidia's lead times went from 8-11 months to just 3 months.What Does This Mean?Think about how Nvidia satisfies GPU orders:On any given quarter, Nvidia has a given production capacity (dictated by its suppliers' capacity, mostly)On any given quarter, Nvidia is shipping against both past (backlog) and new orders for its GPUs.Also, on any given (and future) quarters, production capacity isn't static. Nvidia is pushing its suppliers to be able to produce more and more GPUs.However, what does it take for lead times to decrease? It's necessary either for future production capacity increases to be outstripping future orders, or maybe also for Nvidia to be shipping product in excess of the orders being received. Or, given the extreme drop in lead times (from 8-12 months to just 3-4 months in just 3-4 months at most), likely both.Now, remember that shipments on a given quarter are satisfying both backlog and new orders. If lead times drop to the point where backlog disappears, then shipments would fall to just new orders, which are highly likely to be lower than backlog + new orders.This, in turn, would mean that in the quarter Nvidia eliminates its lead times (or just gets close to eliminating, since there are always delays), such will appear as a sequential drop in revenues. That is, at that point, growth will be gone.Now, obviously, Nvidia isn't priced for such an event. Consider the existing consensus:Seeking AlphaThere's not a single quarter-on-quarter drop in expected revenues up to the January 2026 quarter -- 9 quarters into the future.Yet, apparently more than half of the lead time was eaten in a single quarter. Meaning, we could be just 2-3 quarters away from such a negative event (end of sequential growth). And therein lies the trouble, as the stock isn't priced for its growth to end.This Means Little For Near-Term Growth And EarningsNotice, however, that this rapid decline in lead times also comes from expanded production capacity. And that while such expanded production capacity hastens the inevitable end to growth, it also greatly increases the current apparent growth, revenues and earnings, since it allows more of the backlog to be shipped in the current and immediate quarter(s)!That is, while NVDA is plunging headlong into the end of its growth, the very dynamics which take it to this event faster, also make current growth, revenue levels and earnings higher.It's still quite possible that NVDA will thus have another monster revenue and EPS beat when it reports Q4 FY2024 on February 21st, as well as strong guidance for Q1 FY2025. And only when it reports Q1 FY2025 and guides for Q2 FY2025, will the risk from these observations really start being felt. And that's nearly 4 months away.Still, often the market starts discounting problems before they arrive. And here, the problem does seem to be arriving.This Doesn't Mean The End Of AI GrowthAnother important thing to take notice, is that NVDA's quarterly revenues (and earnings) peaking don't mean that AI capacity will stop growing. It won't. All the GPUs Nvidia will keep on shipping will continue to add to an installed GPU base, even if the number of shipped GPUs stagnates or falls qoq (quarter-on-quarter, sequentially).Moreover, Nvidia's many competitors (AMD, META, GOOG, etc.) will also be adding to that base, through their own chip sales and orders.Thus, AI capacity (for training, inference) continuing to grow is quite different from NVDA continuing to grow.ConclusionNvidia lead times decreasing is genuine bad news for Nvidia in the \"medium\" term (2-3 quarters out). Nvidia right now is shipping both against backlog and new orders. Once lead times decrease to close to zero, Nvidia will be shipping only against new orders, which will tend to represent a lower revenue level when compared to shipping to backlog+new orders.Nvidia's exhaustion of its backlog seems set to happen 2-3 quarters into the future, given that according to UBS, Nvidia turned a 8-11 month backlog into a 3-4 month backlog in just 3-4 months.Nvidia's consensus doesn't include any end to the QOQ growth even looking 9 quarters out, hence this event materializing would be quite negative for Nvidia stock.At the same time, though, increases in Nvidia's capacity to deliver GPUs, which will also be helping in reducing the backlog, mean that in the short-term (1-2 quarters), Nvidia might well continue to beat and raise estimates.Still, with Nvidia having ascended to the 3rd largest market cap in the US markets based on discounting ceaseless growth into the future, caution is certainly warranted as there's clear risk this ceaseless (sequential) growth will cease in the near future.","news_type":1},"isVote":1,"tweetType":1,"viewCount":101,"authorTweetTopStatus":1,"verified":2,"comments":[],"imageCount":0,"langContent":"EN","totalScore":0}],"lives":[]}
