NVIDIA Announces Initiatives to Create and Build America’s AI Infrastructure

NVIDIA announced it is working with the U.S. Department of Energy’s national labs and the nation’s leading companies to build and reinforce America’s AI infrastructure—with the goal to support scientific discovery, economic growth, and power the next industrial revolution. 

“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.”

NVIDIA is accelerating seven new systems by providing the AI infrastructure to drive scientific research and innovation at two U.S. Department of Energy (DOE) facilities—Argonne National Laboratory and Los Alamos National Laboratory (LANL).

NVIDIA is collaborating with Oracle and the DOE to build the U.S. Department of Energy’s largest AI supercomputer for scientific discovery. The Solstice system will feature a record-breaking 100,000 NVIDIA Blackwell GPUs and support the DOE’s mission of developing AI capabilities to drive technological leadership across U.S. security, science, and energy applications.

Another system, Equinox, will include 10,000 NVIDIA Blackwell GPUs expected to be available in 2026. Both systems will be located at Argonne and will be interconnected by NVIDIA networking and deliver a combined 2,200 exaflops of AI performance.

Argonne is also unveiling three powerful NVIDIA-based systems—Tara, Minerva, and Janus—set to expand access to AI-driven computing for researchers across the country.

Together, these systems will enable scientists and engineers to revolutionize scientific discovery and boost productivity, according to NVIDIA.

“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. Together, we are shaping the foundation for the next generation of computing that will power discovery for decades to come.”

NVIDIA also announced the build-out of an AI Factory Research Center at Digital Realty in Virginia. This facility, powered by the NVIDIA Vera Rubin platform, will accelerate breakthroughs in generative AI, scientific computing, and advanced manufacturing and serve as a foundation for pioneering research in digital twins and large-scale simulation.

The center lays the groundwork for NVIDIA Omniverse DSX—a blueprint for multi-generation, gigawatt-scale build-outs using NVIDIA Omniverse libraries—that will set a new standard of excellence for AI infrastructure.

By integrating virtual and physical systems, NVIDIA is creating a scalable model for building intelligent facilities that continuously optimize for performance, energy efficiency, and sustainability, the company said.

With this new center, NVIDIA and its partners are collaborating to develop Omniverse DSX, which will integrate autonomous control systems and modular infrastructure to power the next generation of AI factories

Leading U.S. companies across server makers, cloud service providers, model builders, technology suppliers, and enterprises are investing in advanced AI infrastructure to power AI factories and accelerate U.S. AI development.

Beyond cloud providers and model builders, U.S. organizations are looking to build and offer AI infrastructure for themselves and others that will accelerate workloads across a variety of industries such as pharmaceutical and healthcare, NVIDIA said.

For more information about this news, visit www.nvidia.com.