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List of AI Datacenters in USA

From EverybodyWiki Bios & Wiki





Here is a compiled list of some of the most prominent AI-focused data centers (or major clusters/supercomputers) operational or coming online around 2025–2026, based on recent reports as of mid-January 2026. Many details are approximate, planned, or phased, as these massive projects evolve rapidly with expansions, power constraints, and supply chain factors.I've focused on well-documented examples from key players like xAI, Meta, Microsoft/OpenAI (Stargate), and Oracle (Stargate-related). Numbers for GPUs and power are often current or near-term (early 2026) estimates, with totals sometimes higher in future phases.Owner Start Date (Initial/Operational) GPU Total (approx.) Electricity Demand (approx.) GPU Make & Model City State xAI (Colossus complex) September 2024 (Phase 1); expansions through 2025–2026 555,000+ (target ~1M across site) Up to ~2 GW (total site capacity) Primarily NVIDIA GB200, with H100/H200 mixes Memphis (multi-building site) Tennessee Meta (Prometheus) Expected 2026 Hundreds of thousands (part of >1.3M fleet) ~1 GW NVIDIA (various high-end models) New Albany Ohio Meta (Hyperion) Phased, initial by late 2020s Massive scale (part of multi-GW plans) Up to 5 GW (long-term) NVIDIA (various) Richland Parish Louisiana Microsoft (Fairwater, part of OpenAI support) Early 2026 Hundreds of thousands Not fully specified (multi-GW multi-site) NVIDIA GB200/GB300 Mount Pleasant Wisconsin OpenAI/Oracle (Stargate Abilene campus) September 2025 (initial buildings); scaling 2026 Up to 450,000+ ~1.2 GW NVIDIA GB200 Abilene Texas Oracle (Stargate-related) September 2025 (initial); expansions mid-2026 >450,000 (planned) 1.2 GW+ NVIDIA GB200 Abilene Texas

Key Notes:xAI's Colossus stands out as one of the fastest-built and largest current clusters, starting small in 2024 but expanding aggressively with on-site gas turbines to bypass grid delays. Meta is pursuing gigawatt-scale "titan" clusters (Prometheus, Hyperion) to support its LLaMA models and broader AI ambitions, aiming for >10 GW total capacity by end-2026 across projects. Stargate (OpenAI/Microsoft/Oracle/SoftBank partnership) is a multi-site, multi-GW initiative targeting up to 10 GW overall, with Abilene as a flagship (often cited for its rapid scale-up to support millions of GPUs in the long run). Electricity demand is a major bottleneck—many sites use a mix of grid, on-site natural gas, renewables, and batteries. GPU counts and power are dynamic; expansions (e.g., to 1M+ GPUs) are common goals for 2026+. Other notable mentions (less detailed public data): Anthropic/Amazon clusters, Google TPU-based facilities, and emerging neoclouds like CoreWeave.

These facilities represent the cutting edge of the AI infrastructure boom, but they also highlight challenges like power availability, environmental impact, and regulatory hurdles in 2026.

References


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