Life sciences has entered an era of computational scale, and for more than a decade, NVIDIA has built the full GPU-accelerated computing stack — spanning hardware, frameworks, libraries, models, microservices and domain-…
Meta’s multi-billion-dollar Graviton deal highlights intensifying CPU shortages in AI infrastructure
In 1969, DARPA connected four university computers — from UCLA, Stanford, UCSB and the University of Utah — laying the infrastructure backbone that became the internet.
A n AI agent doesn’t stop running after a single request. It acts in a loop. The model reasons about the next step. The CPU executes the work around the model. The result comes back. The model decides what to do next. Th…
NVIDIA Nemotron 3 Ultra is offering leading performance at lower cost than top closed models with the largest and most widely adopted AI agent orchestration platform.
Open source AI has shown how quickly developers can innovate when models, data and tools are shared. Robotics has the same opportunity, but advancements in physical AI development can still be gated by costly and fragmen…
Life sciences has entered an era of computational scale, and for more than a decade, NVIDIA has built the full GPU-accelerated computing stack — spanning hardware, frameworks, libraries, models, microservices and domain-…
The company claims its Ascend 950PR delivers approximately 2.87 times the inference performance of Nvidia’s H20
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…
In 1969, DARPA connected four university computers — from UCLA, Stanford, UCSB and the University of Utah — laying the infrastructure backbone that became the internet.