The Official NVIDIA Blog

Black Forest Labs — the frontier AI research lab developing visual generative AI models — today released the FLUX.2 family of state-of-the-art image generation models. FLUX.2 is packed with new tools and capabilities, including a multi-reference feature that can generate dozens of similar image variations, in photorealistic detail and with cleaner fonts — even at Read Article

Built on open-source models, today’s AI agents can be tailored for unique workflows and business needs to boost productivity and return on investment.

Five finalists for the esteemed high-performance computing award have achieved breakthroughs in climate modeling, fluid simulation and more with the Alps, JUPITER and Perlmutter supercomputers — with two winners taking home the prize.

Cities worldwide face unprecedented challenges as urban populations surge and infrastructure strains to keep pace.

Tanya Berger-Wolf’s first computational biology project started as a bet with a colleague: that she could build an AI model capable of identifying individual zebras faster than a zoologist. She won. Now, the director of the Translational Data Analytics Institute and a professor at The Ohio State University, Berger-Wolf is taking on the whole animal Read Article

The NVIDIA Blackwell RTX upgrade is nearing the finish line, letting GeForce NOW Ultimate members across the globe experience true next-generation cloud gaming from anywhere. Everyone’s talking about Ultimate memberships — including GeForce NOW partner 2K. “With GeForce NOW Ultimate, top-tier streaming truly goes everywhere,” said Sean Haran, head of partnerships and licensing at 2K. Read Article

Timed with the Microsoft Ignite conference running this week, NVIDIA is expanding its collaboration with Microsoft, including through the adoption of next-generation NVIDIA Spectrum-X Ethernet switches for the new Microsoft Fairwater AI superfactory, powered by the NVIDIA Blackwell platform. The collaboration brings new integrations across Microsoft 365 Copilot, as well as the public preview of Read Article

AI agents have the potential to become indispensable tools for automating complex tasks. But bringing agents to production remains challenging. According to Gartner, “about 40% of AI prototypes make it into production, and participants reported data availability and quality as a top barrier to AI adoption.1” Just like human workers, AI agents need secure, relevant, Read Article