En vivo

Donde esta el computo de la IA en el mundo

534 sitios localizados: cada centro de datos de IA y cluster de GPU con posicion conocida, dimensionado segun el computo que alberga.

Sitios localizados
534
Computo de centros de datos
12.5M H100e
Potencia de centros de datos
11.86 GW
Computo de clusteres
1.5M H100e
Paises
38
Que muestra el mapa

This map plots 534 AI compute sites with a known position: 75 data centers holding about 12.5M H100e, and 459 GPU clusters holding about 1.5M H100e. The data centers draw roughly 11.86 GW between them — the scale of a mid-sized country's electricity demand. The two figures should not be added: they are separate datasets at different granularity, and a cluster usually sits inside one of the data centers, so the same GPUs appear in both.

The concentration is extreme. United States holds 93.6% of all located data-center compute across 66 sites, ahead of Malaysia (281.7K H100e across 1 site). The five largest countries hold 99.7% of it, out of 38 countries with a located site. Counted by individual clusters rather than by capacity the picture shifts: China has 188 separately tracked clusters, second only to United States, on 2.4% of its data-center compute.

The single largest site is Colossus 2, operated by SpaceXAI, at 1.1M H100e and 946 MW. The largest individually tracked cluster is xAI Colossus Memphis Phase 3 (xAI), at 275.8K H100e. Circle area is proportional to compute rather than radius, so a site ten times larger looks ten times larger by area instead of a hundred. Every figure here is a modelled estimate reconstructed from permits, satellite imagery, chip orders and reported spending — not a disclosure.

Clasificado

Computo localizado por pais

Fichas de pais
Los centros de datos y los clusteres de GPU se cuentan por separado: ambos conjuntos de datos se solapan y sus cifras de computo no pueden sumarse.
PaisCentros de datosComputo CDPotencia CDClusteresComputo clusteres
United States6611.7M H100e10.80 GW1191.3M H100e
Malaysia1281.7K H100e240 MW1--
China3278.5K H100e632 MW188109.4K H100e
United Kingdom1123.8K H100e88 MW68K H100e
Indonesia184.4K H100e72 MW----
Portugal131.8K H100e33 MW----
Germany------1126K H100e
Norway------320.5K H100e
Japan------2518.7K H100e
France------1418.4K H100e
Switzerland------417.2K H100e
Finland------411.8K H100e
Saudi Arabia------38.4K H100e
Italy------98.2K H100e
Sweden------44.9K H100e
Spain------14.5K H100e
India------34.4K H100e
Canada------53.1K H100e
Israel------23.1K H100e
Denmark------13K H100e
South Korea------62.4K H100e
Thailand------52.3K H100e
Russia------81.8K H100e
United Arab Emirates1----31.7K H100e
Taiwan------31.7K H100e
Brazil------91.3K H100e
Poland------41.2K H100e
Singapore------31.2K H100e
Netherlands------3947 H100e
Australia1----3637 H100e
Hong Kong------2400 H100e
Luxembourg------1252 H100e
Iceland------1248 H100e
Czechia------1182 H100e
Slovenia------175.67 H100e
Vietnam------150.45 H100e
Philippines------1--
Mexico------1--
Con que precision se ubica cada sitio

A dot on this map is not always the same kind of claim. Epoch AI publishes street addresses for data centers but no coordinates, so those are geocoded here from the address and every result records how far down it resolved. Sites whose address is a construction description rather than a postal address are placed from the town named in the record, and are never claimed as better than region-level.

Ubicado en el edificio
23 sitios
Ubicado en la calle
11 sitios
Ubicado en el distrito
3 sitios
Ubicado en la localidad
22 sitios
Ubicado en el condado o la region
16 sitios

GPU cluster coordinates come from Epoch's own export and are used as published.

Mapa de clusteres GPUSolo los clusteres, por pais y por propietarioMapa de centros de datos de IASolo los centros de datos, por pais y por propietarioMayores sitiosOrdenados por el computo que albergan
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
CoordenadasData center coordinates geocoded from Epoch AI addresses using OpenStreetMap Nominatim. Map data (c) OpenStreetMap contributors, licensed under ODbL 1.0.
Metodologia