NVIDIA Pledges $1 Billion Over Five Years to Back US Science

NVIDIA on October 8, 2026, announced commitments valued at $1 billion to build out United States capacity for super intelligence research and development over the next five years, in fields including quantum computing, healthcare and energy security, according to NVIDIA’s announcement. The announcement was made during the Science: A New Golden Age event in Washington, D.C., where US officials, industry leaders and members of the science community convened on the public-private collaborations needed to bolster scientific exploration.

NVIDIA (NVDA ) said that during the event, the US Office of Science and Technology Policy celebrated the expansion of the Genesis Mission, and the company described itself as a leading industry partner in the mission. The company said it has invited members of the science community to collaborate in research and development using compute and super intelligence infrastructure resources to accelerate scientific discovery and promote US innovation.

“President Trump’s Genesis Mission is launching a new golden age of American discovery,” said Jensen Huang, founder and CEO of NVIDIA. “With a $1 billion investment, NVIDIA is putting advanced Super Intelligence in the hands of America’s scientists to accelerate breakthroughs in medicine, energy and materials.”

Structure of the Five-Year Commitments

Over the next five years, NVIDIA will commit the $1 billion to the advancement of super intelligence for science and quantum computing across the US through support of the nation’s higher-education research institutions, investments in accelerating American quantum leadership and support for cloud service providers bolstering US government mission needs, the company stated.

NVIDIA also stated it is a collaborator on a number of the Phase II Genesis Mission awards announced at the event, including projects in quantum computing, fusion, accelerator design and microelectronics.

Energy Department Awards Announced the Same Day

The US Department of Energy (DOE) on October 8, 2026, announced 12 Phase II Genesis Mission project awards totaling $159 million to advance Super Intelligence (SI) for science, along with six new Phase I awards expanding the program’s initial round of selections. The selections bring the total number of Phase II projects to 14, alongside previously announced awards for GridFM 2.0 under the Office of Electricity and Prometheus under the Office of Nuclear Energy, capping a first-year cohort of 297 projects across the Genesis Mission portfolio, the department said. According to DOE, President Trump launched the Genesis Mission in November 2025, and the growing portfolio of projects was first announced in July.

“These projects represent a critical step in turning the promise of Super Intelligence for science into transformative scientific capability,” said DOE Under Secretary for Science Dr. Darío Gil.

DOE listed the 12 newly awarded projects, made through its Office of Science, and their lead institutions as follows:

• An AI-enabled digital twin platform to simulate and optimize operations of the SPARC fusion demonstration device, led by Commonwealth Fusion Systems.
• A project to expand the RNA structure database five-fold for training SI models, led by the University of California San Diego.
• Lattice quantum chromodynamics work integrating SI with supercomputing calculations of fundamental particle physics, led by MIT.
• MAESTRO, an SI platform to map, stimulate and manage deep underground reservoirs for geothermal energy, led by the University of California Irvine.
• AXIS, a framework using SI to design more efficient electrochemical processes for extracting critical rare-earth elements from domestic sources, led by the University of Illinois Urbana-Champaign.
• A project building foundational SI tools to predict and design functional enzymes, led by the University of Washington Seattle.
• AXESS, which will use SI to design rugged, high-performance microchips for extreme conditions such as space, high-radiation and ultra-cold environments, led by Fermilab.
• MOAT-Core, a shared SI platform across national laboratories to autonomously run and design particle accelerators, led by Lawrence Berkeley National Laboratory.
• ASQC, combining SI with advanced quantum hardware to tackle quantum computing error correction, led by Harvard University.
• AI4HPC, an SI framework to modernize, optimize and verify supercomputing scientific software, led by Argonne National Laboratory.
• A physics-informed SI framework to design new functional quantum magnets, with applications in quantum sensing, low-power electronics and quantum technologies, led by Oak Ridge National Laboratory.
• An intelligent, automated assistant to streamline operation and tuning of the FRIB particle separator, led by Northeastern University.

NVIDIA stated it has collaborated with US national laboratories for more than two decades. In 2025, the company announced its partnership with the DOE on the Genesis Mission, which includes NVIDIA’s work to build the department’s largest supercomputer for scientific research at Argonne National Laboratory.

On October 28, 2025, NVIDIA announced a collaboration with Oracle to build the DOE’s largest AI supercomputer for scientific discovery. The Solstice system will feature 100,000 NVIDIA Blackwell GPUs, while the Equinox system will include 10,000 Blackwell GPUs and was expected to be available in the first half of 2026. Both systems will be located at Argonne National Laboratory, interconnected by NVIDIA networking and delivering a combined 2,200 exaflops of AI performance. Solstice was to be built under the DOE’s new public-private partnership model, including industry investments and use cases. The systems are intended to let scientists develop and train new frontier models and AI reasoning models for open science using the NVIDIA Megatron-Core library and scale them using the NVIDIA TensorRT inference software stack, forming the backbone of agentic AI workflows for scientific discovery.

The same day, NVIDIA detailed seven new systems across Argonne and Los Alamos National Laboratory. Argonne unveiled three NVIDIA-based systems, Tara, Minerva and Janus, set to expand access to AI-driven computing for researchers across the country. Los Alamos, based in New Mexico, selected the NVIDIA Vera Rubin platform and the NVIDIA Quantum-X800 InfiniBand networking fabric for its next-generation Mission and Vision systems, to be built and delivered by HPE. Mission is the fifth Advanced Technology System in the National Nuclear Security Administration’s Advanced Simulation and Computing program, expected to be operational in late 2027 and designed to run classified applications. Vision builds on the achievements of LANL’s Venado supercomputer, which was built for unclassified research.