NVIDIA AI for Energy: Accelerating Nuclear, Grid, and Surface Operations

Accelerating research to deployment timelines with digital twins, high-performance compute, and AI stacks.

Introduction
Use Cases
Success Stories
News and Events
Technology
FAQs
Resources
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Introduction
Use Cases
Success Stories
News and Events
Technology
FAQs
Resources
Get Started

How are AI and Digital Twins Accelerating Nuclear Energy Research and Deployment?

Modeling, simulation, AI, and digital twins are being utilized by SMR companies, fusion labs, and national lab supercomputing centers to halve research-to-operation at scale timelines and ultimately accelerate the deployment of nuclear energy. The use of sim-to-real workflow pipelines allows for critical components and infrastructure, including nuclear fuel rods, to meet all safety and regulatory standards prior to the physical development stage.

Powering the Next American Century: US Energy Secretary Chris Wright and NVIDIA’s Ian Buck on the Genesis Mission

AI will help build the energy it needs. That’s the case in which the U.S. Energy Secretary Chris Wright and NVIDIA Vice President of Hyperscale and High-Performance Computing Ian Buck made it at the SCSP AI+ Expo. The 30-minute fireside chat, moderated by SCSP president Ylli Bajraktari, was called “Powering the Next American Century.”

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Accelerate Clean, Modular, Nuclear Reactor Design With AI Physics

The development of socially acceptable nuclear reactors requires that they are safe, clean, efficient, economical, and sustainable. Meeting these requirements calls for new approaches, driving growing interest in small modular reactors (SMRs) and in Generation IV designs.

Read the Blog

Use Cases

Use Cases for How AI Is Reshaping Surface Infrastructure

AI-Accelerated Licensing and Regulatory Support

Specialized agents designed to review technical compliance documents.

Onsite AI agent deployments, like Neutron Enterprise created by Atomic Canyon and powered by NVIDIA H100 GPUs, are helping nuclear operators ensure they are meeting regulatory guidelines put in place by the Nuclear Regulatory Commission. These specialized agents are trained in technical document retrieval, allowing it to sift through millions of regulations—potentially saving nuclear plant workers thousands of hours in annual search time.

Learn More About Neutron Enterprise

AI agent interface on a screen showing nuclear regulatory document retrieval, powered by NVIDIA H100 GPUs and the Neutron Enterprise system by Atomic Canyon.

Digital Twin-Based Design Optimization and Validation

Simulating nuclear reactors, data centers, grid assets, and distributed energy resources.

Energy companies are building digital twins to accurately model industrial equipment, processes, and workflows—–such as nuclear plants, wind farms, and solar grids—for safe, autonomous operations. The solution uses NVIDIA PhysicsNeMo™, a framework for developing physics-informed machine learning (physics-ML) models, and NVIDIA Omniverse™, the platform for developing OpenUSD applications for industrial digitalization and physical AI simulation. Using industrial digital twins, utilities can enhance safety, improve power generation, and save billions of dollars per year in maintenance.

Explore NVIDIA Digital Twin Solutions for Energy Infrastructure

Interior of the EUROfusion Joint European Torus (JET) fusion reactor, illustrating digital twin simulation for nuclear energy infrastructure using NVIDIA Omniverse and PhysicsNeMo.

Physics-Based Simulations

Predicting renewable energy generation and speeding up workloads.

As 3D simulations increase in size and scale, accelerated computing delivers higher fidelity and performance for true-to-reality climate, weather, and engineering modeling. This includes estimating the impact of cloud cover on solar energy generation, wind speeds for wind energy generation, and computational fluid dynamics (CFD) workloads. Faster time to results leads to less electricity consumed, reducing operating costs and improving energy efficiency.

How AI and Digital Twins Accelerate Climate Research Innovation

Success Stories

How are Energy Companies Using NVIDIA AI to Drive Innovation in Surface Operations?

More NVIDIA Energy Industry Success Stories

This partnership represents a transformative approach to one of our nation’s greatest challenges for deploying abundant, reliable nuclear energy at the speed and scale required for our AI-driven future. By leveraging AI to design, license, and operate reactors, we can fundamentally change the timeline for bringing advanced nuclear energy online.

— John Wagner, Director, Idaho National Laboratory

Successful collaboration is built to meet customers’ needs, both for today and the future, and this collaboration empowers us to integrate NVIDIA’s AI leadership with Hitachi Vantara’s expertise in future-facing hybrid cloud infrastructure solutions and services to help our customers establish a data foundation for innovation.

— Sheila Rohra, CEO, Hitachi Vantara

We have to fix this bureaucratic and complex electricity grid so that it can grow fast, so that it can grow like our primary energy production and it can keep up with AI. If we don’t do that, we’re going to slow down AI.

— Chris Wright, U.S. Energy Secretary

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News and Events

Latest AI News for Energy and Surface Operations

Connecting Industries Through Energy Innovation

How is NVIDIA AI Connecting Nuclear, Grid, and Surface Energy Across Industries?

Creating a Safer and Secure Energy Grid With Earth-2

NVIDIA Earth-2 is a comprehensive family of open models, libraries, and frameworks that democratize global access to professional-grade weather and climate AI. The platform provides a fully open software stack that accelerates every stage of climate and energy forecasting.

Explore NVIDIA Earth-2

DGX Spark Enabling Energy Advancements

Powered by the NVIDIA Grace Blackwell Superchip, NVIDIA DGX Spark™ delivers enhanced performance in a power-efficient, compact form factor. Developers and researchers can prototype, fine-tune, and deploy the latest reasoning energy AI models.

See How DGX Spark Is Being Used in Energy R&D

NVIDIA NeMo for the Energy Industry

NVIDIA NeMo™ is a comprehensive toolkit to build, monitor, and optimize energy AI agents—helping enable nuclear compliance and safety as well as faster research to production pipelines—across their lifecycle at enterprise scale.

Explore NVIDIA NeMo for Energy AI Agent Development

FAQs About NVIDIA AI for Energy and Surface Operations

Earth-2 is a comprehensive family of open models, libraries, and frameworks that provides a fully open software stack for professional-grade climate and weather AI. It accelerates every stage of climate forecasting, helping energy providers estimate variables like cloud cover and wind speeds more accurately.

Explore the platform for global climate and energy forecasting.

Accelerated computing allows for high-fidelity 3D simulations that scale efficiently. This includes detailed modeling of computational fluid dynamics (CFD) for wind turbines and accurate cloud cover estimation for solar arrays, leading to faster results and improved energy production efficiency.

Review how accelerated computing accelerates climate research innovation.

Physics-ML integrates physical laws directly into AI models, which improves the accuracy and reliability of simulations compared to data-driven methods alone. This is particularly valuable in the energy sector for validating designs that must adhere to stringent safety and regulatory frameworks.

See how NVIDIA PhysicsNeMo powers physics-informed ML.

AI is being used to analyze grid congestion and optimize interconnection processes. By leveraging physical AI, companies can manage the queue of energy sources waiting for interconnection, reducing the time taken to bring new sources online by up to 80 percent.

Learn about how AI is optimizing energy grid infrastructure.

NVIDIA NeMo is a comprehensive toolkit used to build, monitor, and optimize energy AI agents. It helps enable nuclear compliance by ensuring technical information is accessible and accurate, while also supporting the development of safety guardrails for autonomous agents across their lifecycle.

Find more on building energy AI agents with NVIDIA NeMo.

AI-accelerated climate models allow for precise estimation of solar irradiance and atmospheric impacts on solar generation assets. This increased accuracy helps utility companies better predict power generation output and optimize the management of solar energy resources.

Explore the Earth-2 applications for weather forecasting.

Resources

GTC On-Demand

The Velocity of Volts: Hitachi and NVIDIA Bring Physical AI to Energy Infrastructure

U.S. electricity demand is rising fast. But connecting new energy sources to the grid is challenging, with twice the total generated power capacity (1.28 terawatts) in the United States sitting in a “queue,” waiting for interconnection. Hitachi and NVIDIA are using physical AI to reduce the time taken to connect new energy sources to the grid by up to 80%.

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Science at the Speed of Light: The Genesis Mission Across DoE Labs

Panelists discuss the key areas of the Genesis Mission and how the private-public partnership is working, including such key areas as energy, quantum, and open models. The DOE brings 17 national labs, the scientists, the national problems, and the data. NVIDIA brings the full stack.

Explore the GTC Session

Accelerating Scientific Discovery Through Global Innovation

Join Undersecretary Dario Gil for a forward-looking update on the Genesis Mission—a bold initiative redefining how science, technology, and global collaboration drive scientific discovery. This session will showcase early successes of NVIDIA’s long-standing collaborations with the U.S. Department of Energy and ongoing work with leading research centers.

Watch the GTC Talk

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