The Meta AI nuclear energy deal marks a major move to power its growing AI infrastructure using clean, sustainable nuclear energy. The company has secured a 20-year agreement with Constellation to purchase 1.1 gigawatts of nuclear power. This energy will come from the Clinton Clean Energy Center in Illinois starting in 2027. The Meta AI nuclear energy deal also sets a precedent for how tech companies can sustainably scale AI infrastructure.
“We see nuclear power as a key part of advancing AI with dependable electricity,” Meta said in its announcement.
Nuclear Energy Supports Meta’s AI Expansion
Meta is rapidly expanding its AI efforts. The company has embedded AI tools into Facebook and Instagram and plans to automate ad creation on both platforms by late 2025. Training and running AI models requires significant power. The International Energy Agency estimates that AI data centers will consume more electricity by 2030 than all of Japan does today.
The deal guarantees stable power delivery while also adding 30 megawatts of capacity to the grid. It keeps the Clinton plant running without help from Illinois’ Zero Emission Credit program. That means no added cost to taxpayers.
Benefits for Jobs and the Environment
The new deal will help preserve over 1,100 jobs and generate $13.5 million in annual tax revenue. Lawmakers have welcomed the move. One called it a smart investment for clean energy and local economic growth.

The Clinton facility nearly shut down in 2017. It was saved by the Future Energy Jobs Act. Meta’s new deal now ensures the plant can continue operations independently. A Brattle Group report found that closing the plant would have raised emissions by 34 million metric tons and reduced Illinois’ GDP by $765 million per year.
Meta is also looking at other nuclear energy partners to meet its broader 1–4 gigawatt clean energy target.
Top AI GPUs Powering Model Training and HPC
AI model training and high-performance computing (HPC) demand intense processing capabilities. Developers use GPUs like the NVIDIA H100, A100, and AMD MI300 to accelerate workloads. These GPUs are built for large language models, deep learning, and real-time analysis. You can browse our lineup of high-performance AI GPUs for scalable, enterprise-ready compute solutions.