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Why Big Tech is turning to nuclear to power its energy-intensive AI ambitions

The OpenAI app icon displayed along with other AI applications on a smartphone.

Technology giants are turning to nuclear energy to power the energy-intensive data centers needed to train and run the massive artificial intelligence models behind today's generative AI applications.

Microsoft and Google are among the firms agreeing deals to purchase nuclear power from certain suppliers in the U.S. to bring additional energy capacity online for its data centers.

This week, Google said it would purchase power from Kairos Power, a developer of small modular reactors, to help "deliver on the progress of AI."

"The grid needs these kinds of clean, reliable sources of energy that can support the build out of these technologies," Michael Terrell, senior director for energy and climate at Google, said on a call with reporters Monday.

"We feel like nuclear can play an important role in helping to meet our demand, and helping meet our demand cleanly, in a way that's more around the clock."

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