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How Nvidia and EPRI Are Using AI to Tackle Power Grid Challenges

March 20, 2025

Nvidia is teaming up with the Electric Power Research Institute (EPRI) to tackle some of the biggest challenges facing our power grids today—many of which, ironically, are brought on by AI itself. This collaboration is part of the Open Power AI Consortium, aiming to develop AI models specifically designed for the power industry. The best part? These models will be open source, so researchers everywhere can dive in and innovate.

As you might know, data centers in the U.S. and worldwide are hungry for more electricity, largely because of the growing demand for AI-driven computing power. The International Energy Agency predicts that our electricity needs will climb by about 4% each year, which means we could be looking at nearly double the demand we had in 2023.

This consortium isn’t just about Nvidia and EPRI. It includes big names like PG&E, Con Edison, Constellation Energy, Duke Energy, the Tennessee Valley Authority, and ENOWA. Plus, tech giants like Microsoft and Oracle are throwing their hats in the ring too.

In today’s tech world, companies are scrambling to secure their own power sources. They see electricity not just as a cost but as a competitive advantage. Many are investing heavily in renewable energy, especially solar, because it’s affordable and quick to set up. Microsoft, for example, has boosted its renewable energy portfolio by adding 475 megawatts of solar power. They’re also backing a massive $9 billion renewable project by Acadia and working with Brookfield to roll out 10.5 gigawatts of renewable power across the U.S. and Europe by 2030.

While tapping into new power sources is one solution, it’s not the only one. A recent study suggests that by shifting energy use during peak times—like postponing non-urgent tasks to off-peak hours—we could free up an extra 76 gigawatts of capacity in the U.S. That’s a whopping 10% of peak demand!

These are just some of the innovative solutions the consortium is exploring, all in an effort to manage the power demands driven by AI advancements. It’s an exciting time for the industry, and there’s a lot of potential for positive change.

 

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