Nvidia partners with Oklo and Los Alamos to build nuclear-powered AI data centers

NVIDIA, Oklo, and Los Alamos National Laboratory are partnering to power AI data centers with small modular nuclear reactors. The deal also puts NVIDIA's AI tools to work on nuclear fuel research under the federal Genesis Mission.

Categorized in: AI News IT and Development
Published on: Apr 26, 2026
Nvidia partners with Oklo and Los Alamos to build nuclear-powered AI data centers

NVIDIA, Oklo Partner on Nuclear-Powered Data Centers for AI

NVIDIA has partnered with nuclear reactor developer Oklo and Los Alamos National Laboratory to build data centers powered by advanced nuclear reactors. The collaboration aims to provide dedicated, reliable energy sources for AI computing infrastructure through a combination of NVIDIA's GPU technology and Oklo's small modular reactor design.

The work supports the federal government's Genesis Mission, which seeks to accelerate deployment of high-assurance power sources for data centers. NVIDIA will apply its AI technology to physics and chemistry-based models that support nuclear fuel research and development.

How the partnership works

NVIDIA's accelerated computing will drive inference models used to validate and manufacture plutonium-bearing fuels for Oklo's Pluto reactor. The partners plan to use modeling and simulation to speed up materials science research, reducing the time and cost of traditional development cycles.

The collaboration also includes studies on grid reliability, redundancy, and stabilization. These studies ensure that AI data centers can operate with consistent power supply and handle fluctuations in demand.

What this means for IT infrastructure

The partnership addresses a core constraint in scaling AI: energy consumption. Large language models and AI training workloads require massive amounts of electricity. Nuclear power offers a carbon-free alternative to traditional grid power, though it requires solving engineering and regulatory challenges first.

NVIDIA designs GPUs and AI accelerators that power data centers, scientific research, and autonomous systems. Its CUDA software ecosystem remains the dominant platform for accelerated computing across industries.

For IT and development professionals, this signals that infrastructure decisions will increasingly involve energy sourcing alongside hardware selection. Organizations evaluating data center strategies should monitor how nuclear power affects cost and availability of computing resources.

Learn more about AI for IT & Development and AI for Science & Research to understand how these technologies apply to your work.


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