Everywhere All at Once NVIDIA Drives the Next Phase of AI Growth
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.
NVIDIA is spearheading the next wave of AI growth by collaborating with ecosystem partners to advance reasoning, AI models, and compute infrastructure. The company aims to manufacture intelligence in AI factories, fueling economic opportunities globally.
U.S. AI Supercomputers and Economic Impact
- NVIDIA announced it will produce AI supercomputers in the U.S. for the first time.
- Over the next four years, NVIDIA and its partners plan to build up to $500 billion worth of AI infrastructure in the U.S.
- This initiative is expected to create hundreds of thousands of jobs and generate trillions in economic growth over decades.
- Some NVIDIA Blackwell compute engines are already being manufactured at TSMC facilities in Arizona.
CoreWeave’s Role in AI Deployment
- NVIDIA revealed that CoreWeave now offers NVIDIA Blackwell GB200 NVL72 rack-scale systems for training next-gen AI models.
- CoreWeave has thousands of NVIDIA Grace Blackwell processors available for AI training and deployment.
Breakthroughs in AI Software and Reasoning
- NVIDIA’s Llama Nemotron Ultra model was recognized as the most accurate open-source reasoning model for scientific and complex coding tasks.
- The model ranks among the top reasoning models globally.
- NVIDIA engineers also won first place in the AI Mathematical Olympiad, solving complex reasoning problems critical for scientific discovery.
- Techniques from this competition were applied to train the Llama Nemotron Ultra model.
Conclusion
NVIDIA’s innovations in hardware, software, and AI reasoning are positioning the company as a leader in meeting the world’s growing demand for intelligence—everywhere, all at once.
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About the Author

Dr. Lisa Kim
AI Ethics Researcher
Leading expert in AI ethics and responsible AI development with 13 years of research experience. Former member of Microsoft AI Ethics Committee, now provides consulting for multiple international AI governance organizations. Regularly contributes AI ethics articles to top-tier journals like Nature and Science.