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Microsoft and NVIDIA Pitch AI as Key to Building Safer, More Resilient Nuclear Power
Microsoft and Nvidia said they plan to use AI to support the development of additional nuclear power sites, a move that comes as interest grows in nuclear energy's role in meeting rising power demand driven by AI.
The move was announced by Darryl Willis, Microsoft Corporate Vice President for Worldwide Energy and Resources.
The two companies are hedging their bets that nuclear energy will be the backbone of the world’s energy needs, particularly with the power required by the increased number of AI data centers.
How could the world’s largest software company and the world's leading manufacturer of graphics processing units (GPUs) power nuclear energy with AI? According to Microsoft, nuclear projects are hamstrung "by highly customized engineering, fragmented data, and mountains of manual regulatory review."
Microsoft and NVIDIA collaborate on AI for nuclear
Redmond says its "AI for nuclear" project combines Nvidia's simulation and AI tools with Microsoft’s cloud and AI platforms to build a complete, AI-powered system for managing nuclear energy on Azure.
The duo has earmarked AI to cut through the red tape of nuclear licensing, which it says, "can take years, cost hundreds of millions of dollars, and involve an immense amount of data processing and reporting."
AI can be used to highlight inconsistencies and resolve them quickly, directly impacting money saving. By offloading data and simulation tasks to AI, Microsoft says engineers and regulators are free to "focus on building a safe, secure, high-capacity, carbon-free power source that’s on-time and on-budget."
Microsoft has already rolled out its technology on the ground with Aalo Atomics, Southern Nuclear, and the Idaho National Laboratory, early adopters of AI for nuclear energy.
One example is Aalo Atomics, which has cut permitting time by 92% using Microsoft’s AI permitting solution, saving about $80 million annually.
The underlying message is that AI can turn nuclear from a slow, one-off engineering process into a repeatable, efficient system, unlocking faster deployment of clean energy.
"We are empowering energy developers to make highly complex work… predictable, slashing development timelines," Microsoft said.