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Buzz: Wallstreetbets Stocks Lower Pre-Bell Friday; Nvidia, Marvell Technology to Decline","url":"https://stock-news.laohu8.com/highlight/detail?id=2662406108","media":"MT Newswires Live","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2662406108?lang=en_us&edition=fundamental","pubTime":"2026-08-28 18:33","pubTimestamp":1787913216,"startTime":"0","endTime":"0","summary":"The most-talked-about stocks in the Reddit subforum Wallstreetbets were lower hours before Friday's opening bell.Nvidia  retreated 0.7%, following an 8.7% gain in the prior session.Marvell Technology  fell 7.8%, extending the 1.5% loss at Thursday's close.Micron Technology  was down 2.4% after a 0.3% retreat at the prior close.Iren  shares declined by 7%, swinging from a 2.4% gain in the previous day's session.Sandisk  was 2.6% lower after a nearly 1% loss in Thursday's session.Palantir Technologies  was down 0.9% following a 4.8% increase at the end of Thursday trading.Salesforce  decreased 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This followed reports that 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Infrastructure Boom to Fuel Nvidia Rack Demand Through 2027","url":"https://stock-news.laohu8.com/highlight/detail?id=2662184065","media":"Dow Jones","labels":["productRelease"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2662184065?lang=en_us&edition=fundamental","pubTime":"2026-08-28 17:35","pubTimestamp":1787909700,"startTime":"0","endTime":"0","summary":"0935 GMT - Nvidia's rack-scale AI systems are expected to generate more than $710 billion in output value in 2027 as demand for increasingly powerful AI infrastructure accelerates, according to TrendForce. The research firm says shipments of NVL72 racks, including GB300 and Vera Rubin platforms, are projected to rise more than 50% in 2027, while higher-priced VR200 systems take a larger share of deployments. TrendForce expects the combined output value of GB300, VR200 and VR300 systems to jump 214% from a year earlier, benefiting server manufacturers and power and cooling suppliers. TrendForce also says Nvidia and Google are expanding beyond chips into data-center infrastructure, using financing and capacity commitments to secure long-term demand for their proprietary AI 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