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Created page with "'''AI data centers''' are specialized facilities built to train, deploy, and run AI systems, especially large models that require massive computational power. They include..."
'''AI data centers''' are specialized facilities built to train, deploy, and run [[AI]] systems, especially large models that require massive computational power. They include advanced compute hardware (like [[GPU]]s and specialized accelerators), high‑bandwidth networking, and robust cooling systems designed for AI workloads.

They differ from traditional data centers in scale, power density, and the requirement for massive [[electrical]] energy. AI data centers produce rapid, unpredictable spikes in [[electricity]] demand, unlike the steady loads of traditional centers. They are rising fast due to generative AI and [[large language model]]s.

AI data centers require large amounts of land and water, raising concerns in local communities.

Communities across the [[U.S.]] are debating the benefits and drawbacks: Northern [[Virginia]]—“data center alley”—handles over half of the world]s [[internet]] traffic, straining land and energy resources. States like [[Indiana]] are seeing rapid proposals for AI data centers, sometimes facing community pushback over [[environment]]al, zoning concerns, and utility regulation.

==References==
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