Nvidia Posts Record $96.2B Quarter, Sees 70% Growth Ahead
Nvidia's quarterly revenue more than doubled to $96.2 billion, and the company issued its first-ever full-year forecast: 70% revenue growth for fiscal 2028.
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Every AI News story tagged with both AI in Business and NVIDIA — the two topics side by side, updated as new articles publish.
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Nvidia's quarterly revenue more than doubled to $96.2 billion, and the company issued its first-ever full-year forecast: 70% revenue growth for fiscal 2028.
Read more →Nvidia is investing $1.5 billion in SoftBank's SB Energy and backing infrastructure at a new Ohio campus built to run exclusively on Nvidia AI compute for OpenAI.
Read more →Indian engineering giant Larsen & Toubro will deploy 10,000 Nvidia B300 GPUs in Chennai for Together AI, its largest single AI infrastructure order yet.
Read more →Nvidia signed agreements with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR to build financing platforms that could mobilize over $500 billion for AI infrastructure.
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Australian AI infrastructure firm Firmus raised $2 billion from Nvidia, Blackstone, Coatue and Jane Street, nearly doubling its valuation to $10.5 billion to expand AI data centers across Asia-Pacific.
Read more →The U.S. Commerce Department is giving GlobalFoundries up to $300 million to build optical links for AI chips, part of an $874 million CHIPS push across seven firms.
Read more →Nvidia is in talks to guarantee $250 billion in financing so OpenAI can lease a 10-gigawatt SoftBank data center in Ohio, the Wall Street Journal reported, citing unnamed sources.
Read more →Apple's market value briefly surpassed Nvidia's on July 17 after Moonshot AI's Kimi K3 model revived doubts about AI infrastructure spending, though Nvidia reclaimed the lead by the close.
Read more →Japan's government and a 44-company consortium called Noetra partnered with Nvidia to build a 140-megawatt AI factory powering open foundation models for robotics and manufacturing.
Read more →Z.ai has released GLM-5.2, a 744-billion-parameter open-weight model that matches GPT-5.5 on key benchmarks and trails Claude Opus 4.8 narrowly — trained entirely on Huawei silicon with no Nvidia hardware.
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