The World's AI Compute

A public, interactive 3D map of more than 700 publicly disclosed AI compute clusters. The map combines a dated snapshot of Epoch AI's GPU Clusters dataset with FLOP Map's curated additions, covering ≈65 GW of reported or estimated capacity and ≈80M H100-equivalent chips. Built to make the infrastructure behind the AI boom visible.

How it works

Each dot is a cluster (points view), or rolled up by geography (heatmap / hex). Click a dot for full specs: power, chips, FLOP/s, cost, sources. Filter by status, operator, country, sector, or year. Pin up to 4 clusters to compare side-by-side. Press ? for keyboard shortcuts.

Why ~700, not 11,000?

Recent estimates put the world's total data centre count at ~11,000–11,800. FLOP Map is a much narrower scope: named AI compute sites with public disclosure of operator, location, and hardware. Most of the 11k+ are enterprise IT, telco, retail back-end, edge, or hyperscale colocation that hosts no AI workload. Of the few thousand sites that do run meaningful AI compute, only a few hundred have detailed-enough public information to map. That's our set.

Data & caveats

Source: a snapshot of Epoch AI's GPU Clusters dataset downloaded 24 April 2026 under CC BY, plus 34 FLOP Map additions reviewed through 27 April 2026. Epoch has since deprecated the base dataset, so this is a public data snapshot, not a continuously updated or complete census. 253 anonymised Chinese clusters share one centroid (35.5°N, 101.9°E) — heatmap reads this correctly but the raw dot count is misleading. Many planned sites lack power or FLOP/s estimates. China is heavily under-covered; smaller US hyperscaler footprints aren't enumerated individually. Reported power capacity is not the same as measured current consumption.

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Drop this into any page to embed the interactive FLOP Map (chrome-hidden, attribution kept):

<iframe src="https://flopmap.com/?embed=1" width="100%" height="600" style="border:0;border-radius:10px;"></iframe> Copy

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Credits

Built by Kit Webster with Globe.gl. Data by Epoch AI (CC BY). Source on GitHub.

Want the bigger picture? Read The story behind the dots: US chip export controls, Huawei vs Nvidia, sovereign AI, the energy crunch, and the scaling law.