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Home Artificial Intelligence

DOE to Build Data Centers, Energy Facilities to Enhance AI Infrastructure

by Miles Jamison
May 7, 2025
in Artificial Intelligence, News
DOE to Build Data Centers, Energy Facilities to Enhance AI Infrastructure

The Department of Energy has issued a notice soliciting industry feedback on potential vendors for its recently launched initiative aimed at accelerating the development of artificial intelligence infrastructure in line with efforts to ensure U.S. leadership in AI.

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The agency said Thursday the request for information seeks input for the construction of data centers and energy infrastructure on DOE-owned sites by the end of 2027. It also covers information on possible development strategies, technology offerings, operational frameworks and economic implications of building AI infrastructure.

Boosting AI Infrastructure Development

Under the potential contract, DOE will build data centers and energy facilities necessary for the development of AI infrastructure. The department has identified 16 potential locations that can be utilized for this project. The selected DOE lands have been determined to be ideal for rapid construction of the data centers and in-place energy infrastructure. The locations also enable new energy generation like nuclear.

“The global race for AI dominance is the next Manhattan project and with President Trump’s leadership and the innovation of our National Labs, the United States can and will win,” Secretary of Energy Chris Wright said. “With today’s action, the Department of Energy is taking important steps to leverage our domestic resources to power the AI revolution while continuing to deliver affordable, reliable and secure energy to the American people,” he added.

Michael Kratsios, policy director of the White House Office of Science and Technology, remarked, “President Trump is committed to ensuring American leadership in artificial intelligence and Secretary Wright is delivering. The Trump administration will unleash federal resources to build out the data resources needed for an AI-powered future.”

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