Everywhere, All at Once: NVIDIA Drives the Next Phase of AI Growth

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Every company and country wants to grow and create economic opportunity — but they need virtually limitless intelligence to do so. Working with its ecosystem partners, NVIDIA this week is underscoring its work advancing reasoning, AI models and compute infrastructure to manufacture intelligence in AI factories — driving the next phase of growth in the U.S. and around the world.

Yesterday, NVIDIA announced it will manufacture AI supercomputers in the U.S. for the first time. Within the next four years, the company plans with its partners to produce up to half a trillion dollars of AI infrastructure in the U.S.

Building NVIDIA AI supercomputers in the U.S. for American AI factories is expected to create opportunities for hundreds of thousands of people and drive trillions of dollars in growth over the coming decades. Some of the NVIDIA Blackwell compute engines at the heart of those AI supercomputers are already being produced at TSMC fabs in Arizona.

NVIDIA announced today that NVIDIA Blackwell GB200 NVL72 rack-scale systems are now available from CoreWeave for customers to train next-generation AI models and run applications at scale. CoreWeave has thousands of NVIDIA Grace Blackwell processors available now to train and deploy the next wave of AI.

Beyond hardware innovation, NVIDIA also pioneers AI software to create more efficient and intelligent models.

Marking the latest in those advances, the NVIDIA Llama Nemotron Ultra model was recognized today by Artificial Analysis as the world’s most accurate open-source reasoning model for scientific and complex coding tasks. It’s also now ranked among the top reasoning models in the world.

NVIDIA’s engineering feats serve as the foundation of it all. A team of NVIDIA engineers won first place in the AI Mathematical Olympiad, competing against 2,200 teams to solve complex mathematical reasoning problems, which are key to advancing scientific discovery, disciplines and domains. The same post-training techniques and open datasets from NVIDIA’s winning effort in the math reasoning competition were applied in training the Llama Nemotron Ultra model.

The world’s need for intelligence is virtually limitless, and NVIDIA’s AI platform is helping meet that need — everywhere, all at once.

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