A groundbreaking partnership between Idaho National Laboratory (INL) and Nvidia aims to slash nuclear reactor development timelines in half and reduce operational costs by 50 percent through artificial intelligence, creating what experts call a "virtuous cycle" where AI accelerates nuclear deployment and nuclear energy powers next-generation AI infrastructure. Meanwhile, South Korea has identified small modular reactors as one of seven strategic technologies to secure its economic future in a post-AI world.

Why Are AI and Nuclear Power Suddenly Linked?

The connection between AI and nuclear energy isn't accidental. Data centers powering AI systems consume enormous amounts of electricity, and nuclear power offers a reliable, carbon-free energy source. But building nuclear reactors has traditionally been slow and expensive. That's where AI comes in. By automating design, licensing, manufacturing, construction, and operation workflows, AI can dramatically compress timelines that currently stretch over decades.

The INL-Nvidia collaboration, called the Prometheus project, is part of the Department of Energy's Genesis Mission, which seeks to accelerate U.S. research and development through AI. The partnership represents a fundamental shift in how the nuclear industry approaches one of its biggest challenges: speed to deployment.

"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 on line," said John Wagner, director of Idaho National Laboratory.

John Wagner, Director at Idaho National Laboratory

What Specific AI Tools Will Accelerate Nuclear Development?

The Prometheus project focuses on several concrete technical initiatives. INL and Nvidia will develop generative AI systems, digital twins (virtual replicas of physical reactors), and agentic workflows (AI systems that can autonomously perform tasks) to speed up every stage of reactor deployment. They'll also accelerate nuclear simulation codes like MOOSE, BISON, Griffin, and Pronghorn on Nvidia's GPU (graphics processing unit) architecture, which is far faster than traditional computing methods.

The partnership will leverage Department of Energy supercomputers for large-scale model training and simulation, while also evaluating on-premises Nvidia AI systems for real-time reactor operations. Critically, INL will provide real-world validation data from its existing reactors, including the Neutron Radiography Reactor (NRAD) and the Microreactor Applications Research Validation and Evaluation (MARVEL), which is expected to become operational by late 2027.

How to Understand the AI-Nuclear Virtuous Cycle

• AI Accelerates Deployment: Generative AI and digital twins compress design and licensing timelines, allowing reactors to be built faster and cheaper than traditional methods.
• Nuclear Powers AI Infrastructure: Once deployed, small modular reactors provide the reliable baseload power that data centers need to run advanced AI systems continuously.
• Feedback Loop Strengthens: As more nuclear capacity comes online, it enables larger AI deployments, which in turn drive demand for more nuclear power, creating a self-reinforcing cycle.

This virtuous cycle is not theoretical. According to INL, the Prometheus project is "designed to create virtuous cycle where AI enables rapid nuclear deployment, and nuclear energy provides the baseload power required for next-generation AI infrastructure".

Why Is South Korea Betting on Small Modular Reactors?

South Korea's government announced this week that it is identifying seven "Strategic Emerging Engines for Disruptive Innovation," or SEEDsm, to address sluggish economic growth and an aging population. Small modular reactors and nuclear fusion top the list, alongside quantum technology, space and aviation, advanced biotechnology, breakthrough renewable energy, and advanced supply chains.

The urgency is real. The Organisation for Economic Cooperation and Development (OECD) projects South Korea's potential growth could fall to a record-low 1.52 percent next year. Economists warn that the country's recent semiconductor export boom, while significant, is insufficient to sustain long-term economic health. By investing in next-generation nuclear technologies now, Seoul aims to secure a foothold in the post-AI economy before the United States and China pull further ahead.

"The aim is to secure a foothold in technologies shaping a post-AI world before superpowers the United States and China pull further ahead," according to Seoul's strategy announcement.

South Korea Ministry of Trade, Industry and Resources

What Does This Mean for the Global Nuclear Industry?

The INL-Nvidia partnership signals a major shift in how governments and private companies view nuclear energy's role in the AI era. Rather than treating nuclear as a legacy energy source, both the U.S. and South Korea are positioning it as a cornerstone of future economic competitiveness. The Prometheus project may expand to include additional stakeholders, including nuclear reactor developers, utilities, investors, and other national laboratories, suggesting this approach could become an industry standard.

The stakes are high. AI data centers are expected to consume enormous amounts of electricity in coming years, and traditional power grids may struggle to keep pace. Nuclear energy, particularly small modular reactors that can be deployed flexibly, offers a solution that is both carbon-free and capable of providing the continuous power that AI infrastructure demands. By combining AI's problem-solving capabilities with nuclear technology, both countries are betting that they can solve two challenges simultaneously: accelerating nuclear deployment and powering the AI revolution.

The next few years will reveal whether this strategy works. INL's MARVEL reactor is expected to become operational by late 2027, providing real-world data to validate the AI-driven design and operation methods being developed under Prometheus. If successful, this model could reshape how the nuclear industry operates globally, turning a traditionally slow-moving sector into one capable of rapid innovation and deployment.