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Note: There is a story called A Tale Of Two Nvidia Eos Supercomputers that augments and corrects information that originally appeared in this story as it was published on February 15. Getting your ...
The Eos supercomputer is built with 576 Nvidia DGX H100 systems, Nvidia Quantum-2 InfiniBand networking, plus software, and is capable of delivering a whopping 18.4 exaflops of FP8 AI performance.
NVIDIA's new Eos supercomputer uses more than 10,000 H100 Tensor Core GPUs to train a 175 billion-parameter GPT-3 model in under four minutes.
Note: This story augments and corrects information that originally appeared in Half Eos’d: Even Nvidia Can’t Get Enough H100s For Its Supercomputers, which was published on February 15. So, as it ...
With 4,608 NVIDIA H100 Tensor Core GPUs at its disposal, Eos is specifically optimized for AI applications, setting a new standard for efficiency in the field. The supercomputer’s ability to ...
Nvidia Corp. today provided the first public look at the architecture powering Eos, the company’s latest data center-scale supercomputer designed for accelerating artificial intelligence developme ...
Nvidia says it built Eos on the knowledge gained from prior Nvidia DGX supercomputers, such as Saturn 5 and Selene. Its developers are using it for their work in AI.
Eos is essentially Nvidia's very own supercomputer that its employees get to use every day for things like AI training and playing Crysis on their lunch breaks.
NVIDIA's new Eos supercomputer is ranked 9 in the TOP500 list of the world's fastest supercomputers, with the Eos pushing the boundaries of AI technology and infrastructure, says NVIDIA. 2.
The new NVIDIA "Eos" supercomputer will be the world's fastest AI supercomputer when it is turned on later this year, packing 576 x DGX H100 systems with a total of 4608 x DGX H100 GPUs.
If you’ve ever wanted to take a peek inside a supercomputer, Nvidia has an absolute treat for you. The AI tech behemoth, which recently overtook both Amazon and Google’s parent company ...
Nvidia describes Eos as a system that can power an "AI factory," as it's a very large-scale SuperPod DGX H100 system. The company says it is what allows it to develop its own AI breakthroughs and ...