I’d lean toward Optionspuppy’s

I’d lean toward Optionspuppy’s view. NVIDIA’s $96.2B revenue and $89B Data Center sales show that AI demand is still accelerating, while its $108B next-quarter guide reinforces the momentum.

But the bigger opportunity may be beyond NVDA itself. As AI clusters scale, bottlenecks are shifting toward HBM, networking, power, cooling and advanced packaging. NVIDIA’s moat remains formidable, especially with CUDA and its full-stack platform, but the next phase of the AI trade could reward companies enabling every GPU to become more productive.

For me, the key question is no longer “Will AI spending continue?” but “Who captures the next dollar of AI infrastructure spending?” That’s where I’d look for the next winners.

@WallStreet_Tiger [龇牙]

Nvidia Reclaims AI Narrative — But at What Cost to Gross Margins?

Nvidia's record quarter: revenue $96.221bn, +106% year-over-year and past the ~$93.6bn consensus, data center +117%, gross margin held at 75%. Rubin is accelerating toward full production, with Huang framing AI as the point where compute converts directly into revenue. The catch is memory: Q4 gross margin troughs at 71–72%, three to four points conceded to component costs. Shares +4% after hours, carrying memory, optical and cloud names along. Worth remembering the stock has fallen the day after earnings four quarters running. Does the supply chain rally from here?

Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.

Comments

We need your insight to fill this gap

Leave a comment

{"i18n":{"language":"en_US"},"detailType":1,"isChannel":false,"data":{"magic":2,"id":603375808672824,"tweetId":"603375808672824","gmtCreate":1788345645339,"gmtModify":1788345650539,"author":{"id":4194184698932812,"idStr":"4194184698932812","authorId":4194184698932812,"authorIdStr":"4194184698932812","name":"苏36","avatar":"https://community-static.tradeup.com/news/default-avatar.jpg","vip":1,"userType":1,"introduction":"","boolIsFan":false,"boolIsHead":false,"crmLevel":12,"crmLevelSwitch":0,"individualDisplayBadges":[{"badgeId":"9427a906234c4b18a82ec3d7730b7fa8-1","templateUuid":"9427a906234c4b18a82ec3d7730b7fa8","name":"Star Contributor","description":"Published at least 3 PICK posts (or 10 IDEA posts) and, within the past 30 days, posted at least 1 PICK post (or 4 IDEA posts) and 1 comment","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":"2026.09.06","individualDisplayEnabled":1,"backgroundColor":{"dark":"#675a37","tint":"#f9ebc2"},"fontColor":{"dark":"#ffffff","tint":"#ab7a0e"}}],"wearingBadges":[],"fanSize":1006,"starInvestorFlag":false},"themes":[{"themeId":"905941babea344598aec80796d42be8b","categoryId":"7a15628ce2174325bddc6229505e0d70","name":"Nvidia Reclaims AI Narrative — But at What Cost to Gross Margins?","type":0,"rnLink":"https://laohu8.com/RN?name=RNTheme&page=/theme/detail&rndata={\"themeId\":905941babea344598aec80796d42be8b}&rnconfig={\"headerBarHidden\": true}","description":"Nvidia's record quarter: revenue $96.221bn, +106% year-over-year and past the ~$93.6bn consensus, data center +117%, gross margin held at 75%. Rubin is accelerating toward full production, with Huang framing AI as the point where compute converts directly into revenue. The catch is memory: Q4 gross margin troughs at 71–72%, three to four points conceded to component costs. Shares +4% after hours, carrying memory, optical and cloud names along. Worth remembering the stock has fallen the day after earnings four quarters running. Does the supply chain rally from here?\n\n","image":"https://community-static.tradeup.com/news/b41155e98aed5ef07f32e2a10551be8a"}],"images":[],"coverImages":[],"title":"","html":"<html><head></head><body>I’d lean toward Optionspuppy’s view. NVIDIA’s $96.2B revenue and $89B Data Center sales show that AI demand is still accelerating, while its $108B next-quarter guide reinforces the momentum. \n\nBut the bigger opportunity may be beyond NVDA itself. As AI clusters scale, bottlenecks are shifting toward HBM, networking, power, cooling and advanced packaging. NVIDIA’s moat remains formidable, especially with CUDA and its full-stack platform, but the next phase of the AI trade could reward companies enabling every GPU to become more productive.\nFor me, the key question is no longer “Will AI spending continue?” but “Who captures the next dollar of AI infrastructure spending?” That’s where I’d look for the next winners.\n<a href=\"https://ttm.financial/U/9000000000000419\"> @WallStreet_Tiger </a> [龇牙]</body></html>","htmlText":"<html><head></head><body>I’d lean toward Optionspuppy’s view. NVIDIA’s $96.2B revenue and $89B Data Center sales show that AI demand is still accelerating, while its $108B next-quarter guide reinforces the momentum. \n\nBut the bigger opportunity may be beyond NVDA itself. As AI clusters scale, bottlenecks are shifting toward HBM, networking, power, cooling and advanced packaging. NVIDIA’s moat remains formidable, especially with CUDA and its full-stack platform, but the next phase of the AI trade could reward companies enabling every GPU to become more productive.\nFor me, the key question is no longer “Will AI spending continue?” but “Who captures the next dollar of AI infrastructure spending?” That’s where I’d look for the next winners.\n<a href=\"https://ttm.financial/U/9000000000000419\"> @WallStreet_Tiger </a> [龇牙]</body></html>","text":"I’d lean toward Optionspuppy’s view. NVIDIA’s $96.2B revenue and $89B Data Center sales show that AI demand is still accelerating, while its $108B next-quarter guide reinforces the momentum. But the bigger opportunity may be beyond NVDA itself. As AI clusters scale, bottlenecks are shifting toward HBM, networking, power, cooling and advanced packaging. NVIDIA’s moat remains formidable, especially with CUDA and its full-stack platform, but the next phase of the AI trade could reward companies enabling every GPU to become more productive. For me, the key question is no longer “Will AI spending continue?” but “Who captures the next dollar of AI infrastructure spending?” That’s where I’d look for the next winners. @WallStreet_Tiger [龇牙]","highlighted":1,"essential":1,"paper":1,"likeSize":1,"commentSize":0,"repostSize":0,"favoriteSize":0,"link":"https://ttm.financial/post/603375808672824","repostId":0,"isVote":1,"tweetType":1,"viewCount":251,"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,"andRepostAutoSelectedFlag":false,"upFlag":false,"length":632,"optionInvolvedFlag":true,"subscribersOnly":false,"subscribersOnlyAccessible":false,"xxTargetLangEnum":"ORIG"},"commentList":[],"isCommentEnd":true,"isTiger":false,"isWeiXinMini":false,"url":"/m/post/603375808672824"}