WASHINGTON, DC (GTC), Oct 31, 2025 – NVIDIA has announced that it is working with the U.S. Department of Energy’s labs and top-tier companies to build America’s AI infrastructure to support scientific discovery and economic growth.
“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 AI Advances Scientific Research at National Labs
NVIDIA is providing AI infrastructure for seven high-performance computing (HPC) systems to drive research 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 Solstice supercomputer. Solstice will use 100,000 NVIDIA Blackwell GPUs and support U.S. security, science and energy applications.
Another system, Equinox, will include 10,000 NVIDIA Blackwell GPUs and is expected to be operational in 2026. Both Solstice and Equinox will be installed at Argonne and connected through NVIDIA networking, delivering a combined 2,200 exaflops of AI performance.
Argonne is also adding three new NVIDIA-based systems – Tara, Minerva, and Janus – to expand nationwide access to AI-powered computing.
“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.”
LANL has selected NVIDIA’s Vera Rubin platform and Quantum X800 InfiniBand networking fabric for its Mission and Vision systems, to be built and delivered by HPE. The Vision system extends the work of LANL’s Venado supercomputer used for unclassified research. Mission, designated as the fifth Advanced Technology System (ATS-5) in the National Nuclear Security Administration’s Advanced Simulation and Computing program, will run classified applications and is expected to be operational in 2027.
The Vera Rubin platform will provide accelerated computing to process large datasets. Paired with the Quantum-X800 InfiniBand fabric, the platform will support complex simulations in areas like materials science, climate modeling, and quantum computing research.
“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,” said Thom Mason, director of Los Alamos National Laboratory. “Our work with NVIDIA helps us remain at the forefront of innovation, driving discoveries to strengthen the resilience of our critical infrastructure.”
NVIDIA AI Factory Research Center and Gigascale AI Factory Blueprint
NVIDIA will build an AI factory research center at Digital Realty in Virginia. The facility will use the NVIDIA Vera Rubin platform. It aims to advance generative AI, scientific computing, advanced manufacturing, digital twins, and large-scale simulation.
The center will support Omniverse DSX – a blueprint for multi-generation, gigawatt-scale build-outs using NVIDIA Omniverse libraries. NVIDIA links virtual and physical systems to model facilities that optimize performance, energy efficiency, and sustainability.
NVIDIA and its partners will develop Omniverse DSX. The effort will integrate autonomous control systems and modular infrastructure to support the next-generation AI factories. NVIDIA is collaborating with below companies to enable the gigawatt-scale rollout of hyperscale AI infrastructure:
- Engineering and construction partners: Bechtel and Jacobs are working with NVIDIA to integrate digital twins into validated designs across architectural, power, mechanical and electrical systems.
- Power, cooling and energy equipment partners: Including Eaton, GE Vernova, Hitachi, Mitsubishi Electric, Schneider Electric, Siemens, Siemens Energy, Tesla, Trane Technologies and Vertiv are contributing to the center. Power and system modeling enable AI factories to interact with utility networks. Liquid-cooling, rectification and power-conversion systems optimized for NVIDIA Grace Blackwell and Vera Rubin platforms are also modeled in the earlier NVIDIA Omniverse Blueprint for AI factory digital twins.
- Software and agentic AI solutions providers: Including Cadence, Emerald AI, Phaidra, PTC, Schneider Electric ETAP, Siemens and Switch have built digital twin solutions to optimize AI factory lifecycles, from design to operation. AI agents optimize power, cooling and workloads, turning the NVIDIA Omniverse DSX blueprint for AI factory digital twins into a self-learning system.
Building the Next Wave of US Infrastructure
Cisco, Dell Technologies, HPE and Supermicro are collaborating with NVIDIA to build AI infrastructure by integrating NVIDIA GPUs and AI software into their full-stack systems. This includes the NVIDIA AI Factory for Government reference design, which will accelerate AI deployments for the public sector and regulated industries.
In addition, Cisco is launching the Nexus N9100 switch series powered by NVIDIA Spectrum-X ethernet switch silicon. The switches’ integration with the Cisco Nexus management framework will allow customers to deploy and manage the NVIDIA-powered fabrics using the same tools and operational models.
Cisco will offer an NVIDIA Cloud Partner-compliant AI factory with the Cisco cloud reference architecture based on this switch. The N9100 Series switches will be orderable before the end of 2025.
Leading Cloud Providers and Model Builders Accelerate AI
Cloud providers and model builders invest in AI infrastructure to create an ecosystem for AI innovation, ensuring the U.S. remains at the forefront of AI advancements and their practical applications across industries globally.
The following companies are expanding their commitments to bolster U.S.-based AI innovation:
- Akamai is launching Akamai Inference Cloud, a distributed platform that expands AI inference from core data centers to the edge – targeting 20 locations across the globe, including five U.S. states, and plans for expansion – accelerated by NVIDIA RTX PRO Servers.
- CoreWeave is establishing CoreWeave Federal, a business focused on providing AI cloud infrastructure and services to the U.S. government running on NVIDIA GPUs and validated designs. The initiative includes anticipated FedRAMP and related agency authorizations of the CoreWeave platform.
- Global AI, a NVIDIA cloud partner, has placed its first big purchase for 128 NVIDIA GB300 NVL72 racks (featuring 9,000+ GPUs), which will be the largest GB300 NVL72 deployment in New York.
- Google Cloud is offering new A4X Max VMs with NVIDIA GB300 NVL72 and G4 VMs with NVIDIA RTX PRO 6000 Blackwell GPUs, as well as bringing the NVIDIA Blackwell platform on premises and in air-gapped environments with Google distributed cloud.
- Lambda is building 100+ megawatt AI factory in Kansas City, Missouri. The supercomputer will feature more than 10,000 NVIDIA GB300 NVL72 GPUs.
- Microsoft is using NVIDIA RTX PRO 6000 Blackwell GPUs on Microsoft Azure and has announced the deployment of a Azure cluster using NVIDIA GB300 NVL72 for OpenAI. In addition, Microsoft is adding Azure local support for NVIDIA RTX GPUs.
- Oracle launched Oracle cloud infrastructure zettascale10, powered by NVIDIA AI infrastructure.
- Together AI and 5C, operates an AI factory in Maryland featuring NVIDIA B200 GPUs and is bringing a new one online in Memphis, Tennessee, featuring NVIDIA GB200 and GB300 systems. Both locations are set for expansion, and new locations will be coming up in 2026.
- xAI is working on it’s Colossus 2 data center in Memphis, Tennessee, which will house over half a million NVIDIA GPU.
US Enterprises Build AI Infrastructure for Industries
U.S. organizations are looking to build and offer AI infrastructure that will accelerate workloads across industries such as pharmaceutical and healthcare.
Lilly is building the AI factory with an NVIDIA DGX SuperPOD with NVIDIA DGX B300 systems, featuring NVIDIA Spectrum-X Ethernet and NVIDIA Mission Control software. This builds on Lilly’s use of NVIDIA RTX PRO Servers to power drug discovery and research.
Mayo Clinic has created an AI factory powered by DGX SuperPOD with DGX B200 systems and NVIDIA Mission Control. This provides AI compute to advance medical research, digital pathology, and personal care.
Source: NVIDIA
About NVIDIA
NVIDIA, founded in 1993 and headquartered in Santa Clara, CA, designs and manufactures graphics processing units, systems on chips, networking hardware, and AI intelligence software such as CUDA. Its products serve industries including gaming, data centers, autonomous vehicles, professional visualization, robotics, health care, and energy. The company introduced the GPU in 1999 and later expanded into accelerated computing and AI infrastructure. In gaming, its GPUs support high-performance rendering, while in AI and high-performance computing, its systems provide the infrastructure for training and deploying large-scale models. NVIDIA also develops tools for robotics and autonomous driving. For the fiscal quarter ending in July 2025, the company reported revenue of $46.7B and net income of $26.4B.