AI Data Center Buildout in 2025

This timeline slice groups facilities tied to 2025 through the best current public milestone year in the dataset. It captures 14.3 GW of disclosed capacity across this cohort.

Facilities
26
Tracked Capacity
14.3GW
Countries
18
Operators
35
Facility Capacity
G42 “Stargate” UAE–US AI Campus (Abu Dhabi)
Abu Dhabi, United Arab Emirates
5000MW
AWS AI Innovation Campuses (Salem and Falls Townships, PA)
Salem Township, United States
1800MW
Meta Project Prometheus (New Albany, Ohio)
New Albany, United States
1500MW
Vantage Data Centers Texas Mega-Campus (Shackelford County)
Albany, United States
1400MW
MGX/Mistral AI Campus (Paris Region)
Paris, France
1400MW
BCE National AI Data Center Initiative (Canada)
Kamloops, Canada
500MW
Naver & NVIDIA Morocco AI Data Center (Tamesna)
Tamesna, Morocco
500MW
ByteDance — Thailand AI Data Hub
Bangkok, Thailand
400MW
NTT–Telangana AI Data Center Cluster (India)
Hyderabad, India
400MW
AWS Mexico (Central) Region — Querétaro
Querétaro, Mexico
345MW
Vantage Nevada AI Data Center (NV1)
Henderson, United States
224MW
AWS — Thailand Cloud Region (Asia Pacific)
Bangkok, Thailand
200MW
Oracle — AIS Cloud (Thailand) Sovereign Region
Bangkok, Thailand
120MW
OpenAI — European AI Infrastructure (France)
Paris, France
100MW
Microsoft Azure — Romania (Bucharest)
Bucharest, Romania
100MW
Khazna Ajman AI Data Center (UAE)
Ajman, United Arab Emirates
100MW
Microsoft — Argentina AI Cloud Region
Buenos Aires, Argentina
50MW
Microsoft — Chile Central AI Infrastructure
Santiago, Chile
50MW
Microsoft — Vietnam AI Cloud Region
Hanoi, Vietnam
40MW
Nebius–Mega Or National AI Data Center (Israel)
Modi'in, Israel
25MW
JUPITER Exascale AI Data Center
Jülich, Germany
10MW
MTN AI Data Center (Nigeria)
Ikeja, Nigeria
9MW
Cassava AI Data Center (South Africa)
Johannesburg, South Africa
Cassava AI Data Center (Nigeria)
Lagos, Nigeria
Cassava AI Data Center (Egypt)
Cairo, Egypt
AIST ABCI-3 Supercomputer (Japan)
Tsukuba, Japan

Timeline Method

This page currently groups projects by the best single public milestone year in the dataset, stored as start_year. As the index fills out separate announcement, groundbreaking, and go-live fields, the year taxonomy can split into more precise public timeline surfaces and filtered feeds.