NVIDIA has announced new collaborations with the U.S. Department of Energy’s national laboratories and leading American companies to develop advanced AI infrastructure intended to support scientific research, economic growth, and technological leadership.
Jensen Huang, founder and CEO of NVIDIA, stated: “We are at the dawn of the AI industrial revolution that will define the future of every industry and nation. 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 providing technology for seven new systems at Argonne National Laboratory and Los Alamos National Laboratory (LANL). At Argonne, two major systems—Solstice and Equinox—will use a combined 110,000 NVIDIA Blackwell GPUs. Solstice is expected to become the largest AI supercomputer at a DOE facility. Equinox will feature 10,000 GPUs when it becomes available in 2026. These systems will be interconnected by NVIDIA networking solutions.
Additionally, Argonne will introduce three more NVIDIA-based systems—Tara, Minerva, and Janus—to expand access to high-performance computing resources nationwide. Paul K. Kearns, director of Argonne National Laboratory said: “Argonne’s collaboration with NVIDIA and Oracle represents a pivotal step in advancing the nation’s AI and computing infrastructure. 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.”
At LANL in New Mexico, plans include adopting NVIDIA's Vera Rubin platform alongside Quantum-X800 InfiniBand networking fabric for upcoming Mission and Vision systems built by HPE. The Mission system is part of national security initiatives under the Advanced Simulation and Computing program supported by LANL.
Thom Mason, director of Los Alamos National Laboratory commented: “Our integration of the NVIDIA Vera Rubin platform and Quantum X800 InfiniBand fabric represents a transformative advancement of our lab — harnessing this level of computational performance is essential to tackling some of the most complex scientific and national security challenges. Our work with NVIDIA helps us remain at the forefront of innovation, driving discoveries to strengthen the resilience of our critical infrastructure.”
NVIDIA also revealed plans for an AI Factory Research Center at Digital Realty in Virginia powered by its Vera Rubin platform. This center aims to advance generative AI research as well as large-scale simulation projects such as digital twins through its Omniverse DSX blueprint—a model designed for multi-generation gigawatt-scale build-outs using Omniverse libraries.
The company is working with engineering firms Bechtel and Jacobs on integrating digital twin technologies into facility design processes while partnering with energy equipment providers like Eaton, GE Vernova, Hitachi, Mitsubishi Electric, Schneider Electric, Siemens (including Siemens Energy), Tesla, Trane Technologies and Vertiv on optimizing power delivery models.
Software providers including Cadence; Emerald AI; Phaidra; PTC; Schneider Electric ETAP; Siemens; Switch are contributing digital twin solutions aimed at improving lifecycle management from design through operation using autonomous control systems.
Major server manufacturers Cisco, Dell Technologies, HPE and Supermicro are collaborating with NVIDIA to integrate GPU hardware into secure full-stack systems tailored for government agencies or regulated industries through offerings such as NVIDIA’s new AI Factory for Government reference design.
Cisco announced its Nexus N9100 switch series powered by NVIDIA Spectrum-X Ethernet silicon allowing easier deployment within existing management frameworks. Cisco customers can order these switches before year-end as part of an updated cloud reference architecture based on this technology.
Cloud service providers continue investing in NVIDIA-powered platforms:
- Akamai launched Inference Cloud using RTX PRO Servers.
- CoreWeave introduced CoreWeave Federal targeting U.S. government compliance.
- Global AI made a significant purchase deploying over 9,000 GPUs in New York.
- Google Cloud added A4X Max VMs featuring GB300 NVL72 GPUs.
- Lambda began construction on a large Kansas City supercomputer using more than 10,000 GB300 NVL72 GPUs.
- Microsoft deployed RTX PRO 6000 Blackwell GPUs via Azure clusters supporting OpenAI workloads.
- Oracle launched Zettascale10 supercomputer services running on NVIDIA hardware.
- Together AI expanded operations in Maryland and Tennessee with B200/GB200/GB300 GPU-based factories.
- xAI continued work on its Memphis data center expected to house over half a million GPUs.
U.S.-based enterprises are also developing sector-specific infrastructures:
- Lilly is building what it calls "the pharmaceutical industry’s most powerful AI factory" using DGX SuperPODs equipped with DGX B300 systems aimed at accelerating drug discovery.
- Mayo Clinic has established an AI factory leveraging DGX SuperPODs with DGX B200 systems supporting applications from medical research to personalized patient care.
These initiatives reflect broad investment across public labs as well as private sector partners toward expanding domestic capacity for artificial intelligence development.