Nvidia DGX cloud to bring AI supercomputers ‘to every company’ And OpenAI will be using H100s on its Azure supercomputer to power its continuing AI research. Meta has now deployed its H100-powered “Grand Teton” AI supercomputer internally for its AI production and research teams. This follows Microsoft Azure’s private preview announcement last week for its H100 virtual machine, ND H100 v5. And Amazon Web Services announced its forthcoming EC2 UltraClusters of P5 instances, which can scale in size up to 20,000 interconnected H100 GPUs. Oracle Cloud Infrastructure announced the limited availability of new OCI Compute bare-metal GPU instances featuring H100 GPUs. H100 AI supercomputers are already coming online, he added.
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“Nvidia DGX H100 is the blueprint for customers building AI infrastructure worldwide,” Huang said, sharing that Nvidia DGX H100 is now in full production. The latest version of DGX features eight Nvidia H100 GPUs linked together to work as one giant GPU. Nvidia calls DGX the blueprint for AI infrastructure “DGX supercomputers are modern AI factories,” Huang said. Half of all Fortune 100 companies have installed DGX AI supercomputers. Nvidia DGX supercomputers, originally used as AI research instruments, are now running 24/7 at businesses across the world to refine data and process AI, Huang reported.
In his keynote, Huang recounted how back in 2016 he hand-delivered to OpenAI the first Nvidia DGX AI supercomputer - the engine behind the large language model powering ChatGPT. Nvidia’s technologies are fundamental to AI, said Huang, recounting how Nvidia was there at the very beginning of the generative AI revolution. In fact, Nvidia powers ChatGPT: According to UBS analyst Timothy Arcuri, ChatGPT used 10,000 Nvidia GPUs to train the model.
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The announcements at GTC, which targets Nvidia’s community of over four million developers, come in the context of Nvidia’s continued AI dominance, particularly in the latest era of generative AI.Īs detailed in VentureBeat’s recent in-depth feature story, Nvidia got a massive AI head start when the hardware and software company helped power the deep learning “revolution” of a decade ago, and shows few signs of losing its lead as generative AI explodes with tools like ChatGPT.
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