NVIDIA technologies power more than 400 of the world’s 500 fastest supercomputers — 81% of the TOP500 — according to the latest rankings released this week at the ISC High Performance conference in Hamburg, Germany.
Leaving Nvidia without a proven way to scale Rubin Ultra past its current Oberon rack.
As organizations move from AI pilots to production AI factories, infrastructure decisions have shifted from peak chip specifications to cost per token : how many useful tokens they can deliver per dollar, per watt and wi…
Editor’s note: This post is part of the Nemotron Labs blog series, which explores how the latest open models, datasets and training techniques help businesses build specialized AI systems and applications on NVIDIA platf…
“We wanted to see what would happen if we just released some software as open source that uses the NVIDIA Jetson platform and NVIDIA CUDA libraries for robotics. Would there be any value there?” Singh recalled. “And the …
Every year, the International Conference on Machine Learning (ICML) reveals where thousands of AI researchers have decided to put their work.
AI Imperative: Domestic AI capabilities are critical to economic growth, national security, cultural preservation and innovation — with responsible, trustworthy AI aligned to local policies as well as national goals.
Intel’s fab roadmap examined — Arizona, Ohio, Ireland, and the two deadlines deciding 14A process node
Anthropic’s Claude models in Microsoft Foundry — hosted on Microsoft Azure and running on NVIDIA GB300 Blackwell Ultra GPUs — are now generally available, giving Azure-native enterprises a powerful new way to build auton…
The company claims its Ascend 950PR delivers approximately 2.87 times the inference performance of Nvidia’s H20
