Joyride Through July With 12 Games Coming to GeForce NOW
Start the month with Monopoly: Star Wars Heroes vs. Villains , bringing a galaxy far, far away to the iconic board-game franchise, alongside 12 new games joining the cloud this month.

Start the month with Monopoly: Star Wars Heroes vs. Villains , bringing a galaxy far, far away to the iconic board-game franchise, alongside 12 new games joining the cloud this month.

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…

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…

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.

Summer savings are heating up. From the Steam Summer Sale to GeForce NOW membership discounts , this week’s GFN Thursday delivers double the deals and more ways to get the most value from cloud gaming.

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-…

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…

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…

Building AI systems at scale is demanding, requiring low-latency inference, fast vector search, strong GPU price-performance and infrastructure that can grow without multiplying operational complexity.
