NVIDIA has unveiled a major collaboration with the U.S. Department of Energy’s (DOE) national laboratories and leading American enterprises to establish the country’s advanced AI infrastructure. This initiative aims to accelerate scientific discovery, fuel economic growth, and power the next industrial revolution driven by artificial intelligence.

“We are at the dawn of the AI industrial revolution that will define the future of every industry and nation,” said Jensen Huang, founder and CEO of NVIDIA. “It is imperative that America lead the race to the future this is our generation’s Apollo moment. The next wave of inventions, discoveries and progress will be determined by our nation’s ability to scale AI infrastructure. Together with our partners, we are building the most advanced AI infrastructure ever created, ensuring that America has the foundation for a prosperous future, and that the world’s AI runs on American innovation, openness and collaboration, for the benefit of all.”

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Advancing AI Research Across National Labs

NVIDIA is accelerating seven new AI-powered systems at the DOE’s Argonne National Laboratory and Los Alamos National Laboratory (LANL). In collaboration with Oracle and the DOE, NVIDIA is developing Solstice the largest AI supercomputer for scientific discovery which will feature 100,000 NVIDIA Blackwell GPUs. This powerhouse will help advance U.S. leadership in science, security, and energy innovation.

Additionally, the Equinox system, with 10,000 NVIDIA Blackwell GPUs, will launch in 2026. Both systems, based at Argonne, will deliver a combined 2,200 exaflops of AI performance. Argonne will also introduce three new NVIDIA-based platforms Tara, Minerva, and Janus designed to expand AI-driven computing for researchers nationwide.

“Argonne’s collaboration with NVIDIA and Oracle represents a pivotal step in advancing the nation’s AI and computing infrastructure,” said Paul K. Kearns, director of Argonne National Laboratory. “Through this partnership, we’re building platforms that redefine performance, scalability and scientific potential.”

Meanwhile, LANL in New Mexico is integrating the NVIDIA Vera Rubin platform and Quantum-X800 InfiniBand fabric for its next-generation Mission and Vision systems, which will support both classified and unclassified research. “Our integration of the NVIDIA Vera Rubin platform and Quantum X800 InfiniBand fabric represents a transformative advancement of our lab,” noted Thom Mason, director of Los Alamos National Laboratory.

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Building the Blueprint for Future AI Factories

To further expand AI innovation, NVIDIA is establishing an AI Factory Research Center at Digital Realty in Virginia. Powered by the NVIDIA Vera Rubin platform, this facility will drive breakthroughs in generative AI, digital twins, and advanced manufacturing. It will also serve as the foundation for NVIDIA Omniverse DSX a gigawatt-scale blueprint for intelligent, sustainable AI infrastructure.

Engineering and construction leaders like Bechtel and Jacobs are partnering with NVIDIA to integrate digital twin technology into design and operations. Meanwhile, major energy and equipment companies including Siemens, GE Vernova, Hitachi, Mitsubishi Electric, and Tesla are contributing power, cooling, and modeling expertise to ensure efficiency at scale.

Strengthening U.S. AI Ecosystem

Top U.S. companies such as Cisco, Dell Technologies, HPE, and Supermicro are collaborating with NVIDIA to develop secure and scalable AI infrastructure. Cisco is launching its Nexus N9100 switch series powered by NVIDIA Spectrum-X Ethernet silicon, enabling customers to deploy high-speed, NVIDIA-driven networks seamlessly.

Cloud leaders including Google Cloud, Microsoft, Oracle, Akamai, and CoreWeave are expanding their NVIDIA-based deployments, reinforcing America’s AI innovation landscape. At the same time, enterprises like Lilly and Mayo Clinic are building specialized AI factories to revolutionize drug discovery and healthcare research.

Through these widespread efforts, NVIDIA and its partners are laying the foundation for a new era of U.S. technological leadership one where AI drives innovation, scientific advancement, and economic progress across industries.

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