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US DoE wants devs to fast-track domestic AI datacenters
But Bernstein analysts say tariffs could disrupt equipment supply chains The US Department of Energy (DoE) is looking to co-locate datacenters with energy generation facilities to further America's AI ambitions, and is putting up its own land for this purpose. The DoE says it is acting in
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US plans to develop AI projects on Energy Department lands
WASHINGTON, April 3 (Reuters) - The administration of President Donald Trump said on Thursday it has identified 16 potential sites on U.S. Energy Department lands where data centers and power plants to support the boom in artificial intelligence can be developed. WHY IT'S IMPORTANT Rapid growth
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U.S. energy department invites AI data center development at Los Alamos and other federal lands
The U.S. Department of Energy said it has identified 16 federal sites, including storied nuclear research laboratories such as Los Alamos, where tech companies could build data centers in a push to accelerate commercial development of artificial intelligence technology. The sites are "uniquely
[4]
US energy department invites AI data center development at Los Alamos and other federal lands
The U.S. Department of Energy said it has identified 16 federal sites, including storied nuclear research laboratories such as Los Alamos, where tech companies could build data centers in a push to accelerate commercial development of artificial intelligence technology. The sites are "uniquely
[5]
U.S. energy department invites AI data center development at Los Alamos and other federal lands
The U.S. Department of Energy said it has identified 16 federal sites, including storied nuclear research laboratories such as Los Alamos, where tech companies could build data centers in a push to accelerate commercial development of artificial intelligence technology. The sites are "uniquely
[6]
US Energy Department Invites AI Data Center Development at Los Alamos and Other Federal Lands
The U.S. Department of Energy said it has identified 16 federal sites, including storied nuclear research laboratories such as Los Alamos, where tech companies could build data centers in a push to accelerate commercial development of artificial intelligence technology. The sites are "uniquely
[7]
US Plans to Develop AI Projects on Energy Department Lands
WASHINGTON (Reuters) - The administration of President Donald Trump said on Thursday it has identified 16 potential sites on U.S. Energy Department lands where data centers and power plants to support the boom in artificial intelligence can be developed. WHY IT'S IMPORTANT Rapid growth in AI is
[8]
Trump administration announces plans to build AI data centers on federal land
The Trump administration identified 16 sites for the development of artificial intelligence (AI) data centers Thursday on land owned by the Department of Energy. The centers comprise rows of servers providing processing capacity for machine learning, cloud storage and AI systems that require
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Energy Department Invites AI Development at Los Alamos and Other Federal Lands
The sites are "uniquely positioned for rapid data center construction, including in-place energy infrastructure with the ability to fast-track permitting for new energy generation such as nuclear," the agency said in a statement Thursday. The move follows an executive order signed in January by
[10]
US plans to develop AI projects on Energy Department lands
Rapid growth in AI is leading to the first boom in US power demand for two decades sending Big Tech and utility companies scrambling to build new data centers and power plants.The administration of President Donald Trump said on Thursday it has identified 16 potential sites on U.S. Department of
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The US Department of Energy has identified 16 federal sites, including national laboratories, for potential AI data center development. This initiative aims to accelerate AI technology advancement while addressing the growing energy demands of data centers.

The US Department of Energy (DoE) has announced a groundbreaking initiative to accelerate the development of artificial intelligence (AI) infrastructure across the nation. The department has identified 16 potential sites on federal lands, including renowned national research laboratories, for the rapid construction of data centers to support the growing demands of AI technology
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.Among the shortlisted locations are some of America's most prestigious research facilities overseen by the DoE, such as Oak Ridge, Los Alamos, Argonne, Sandia, Fermi, and Princeton Plasma Physics Laboratory
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. These sites are uniquely positioned for swift data center construction, with existing energy infrastructure and the potential for expedited permitting processes for new energy generation facilities, including nuclear reactors2
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.The initiative comes in response to the surging power requirements of AI-driven technologies. A recent report by the Lawrence Berkeley National Laboratory highlighted that data centers in the US consumed approximately 4.4% of the country's total electricity supply in 2023, with projections suggesting this could reach 12% by 2028
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. The rapid growth in AI-capable servers for model training has been identified as a primary driver of this increased energy demand1
.The DoE's action aligns with executive orders issued by both the Biden and Trump administrations. While President Biden's order focused on removing hurdles for AI data center expansion and encouraging the use of renewable energy sources, the Trump administration has expressed support for opening federal lands for data center development
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. Energy Secretary Chris Wright likened the global race for AI dominance to the Manhattan Project, emphasizing the critical nature of this initiative for maintaining US technological leadership1
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.The DoE is actively seeking input from data center developers, energy firms, and the public to advance this project
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. The department aims to foster public-private partnerships, offering industry players the opportunity to collaborate with world-class research facilities. This collaboration is expected to drive advancements in both power systems for data centers and next-generation hardware1
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While the initiative presents significant opportunities, it also faces potential challenges. Analysts have warned that recent reciprocal tariffs imposed by the Trump administration could disrupt efforts to expand AI infrastructure by targeting major equipment suppliers from countries such as China, Taiwan, and South Korea
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. These tariffs may increase the cost of essential electronics and data center equipment, potentially impacting the ambitious timeline set for the project1
.The DoE has set an ambitious target for construction to begin by the end of this year, with some facilities expected to be operational by the end of 2027
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. As the United States continues to accelerate efforts in licensing and building a new generation of nuclear reactors for carbon-free electricity, the integration of AI infrastructure with clean energy sources remains a key focus3
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.This initiative represents a significant step in the US strategy to maintain its competitive edge in AI technology while addressing the growing energy demands associated with data centers and advanced computing infrastructure.
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