Geographic Index

AI Data Center Locations

Track where AI data centers are being built worldwide. This location hub links the interactive map with country, region, and US state pages so readers can move from the global buildout to specific local clusters in one click.

Facilities Mapped
344

Tracked AI campuses, cloud regions, and supercomputing facilities.

Countries
64

National pages for the main markets where AI infrastructure is appearing.

Strategic Regions
12

Subcontinental slices like the Middle East, Nordics, and Southeast Asia.

US States
29

State-level drilldowns for the country with the densest tracked buildout.

How to Use This

Interactive map for globe-level exploration and ad hoc filtering.

Country pages for national facility lists, operator mix, and capacity rollups.

US state pages for Virginia, Texas, Oregon, Iowa, Georgia, and other domestic clusters.

Operator pages to cross-check where each company is concentrating its buildout.

JSON and CSV downloads for researchers building their own maps or models.

Top Countries by Tracked Facility Count

Country pages are the core location API. They answer which markets are densest, where capacity disclosures are accumulating, and which operators show up in each geography.

All countries →
# Country Facilities GW Tracked
1 United States 84 71.7 GW
2 India 11 3.1 GW
3 Germany 11 1.6 GW
4 South Korea 11 6.1 GW
5 Japan 10 2.2 GW
6 France 9 2.4 GW
7 United Kingdom 9 2.1 GW
8 United Arab Emirates 8 11.5 GW
9 Australia 8 2.2 GW
10 Singapore 8 1.1 GW
11 Saudi Arabia 8 4.5 GW
12 Canada 8 13.0 GW

Why AI Data Centers Cluster Where They Do

Power availability is the first constraint. Utility-scale campuses follow substations, generation buildouts, and markets where operators can realistically secure hundreds of megawatts.

Fiber density still matters. Many of the biggest clusters sit near existing internet backbones, cloud availability zones, and enterprise demand centers.

Cooling, land, and politics shape the map. Water access, climate, permitting, tax incentives, and local opposition all influence where the next campus can actually get built.

Use investment pages and coverage transparency alongside these location views to separate mature clusters from early signals.