AI Data Center Buildout in 2020
This timeline slice groups facilities tied to 2020 through the best current public milestone year in the dataset. It captures 3.0 GW of disclosed capacity across this cohort.
Facilities
13
Tracked Capacity
3.0GW
Countries
8
Operators
10
| Facility | Capacity |
|---|---|
|
Microsoft Azure Northern Virginia AI Data Centers
Ashburn, United States
|
1000MW |
|
Alibaba Cloud — Zhangbei Super Data Center
Zhangbei, China
|
500MW |
|
NTT DATA — Singapore Hyperscale AI Campus
Singapore, Singapore
|
250MW |
|
Google — Fredericia (Taulov) AI Data Center
Fredericia, Denmark
|
200MW |
|
Google Cloud — South Korea (Seoul) Region
Seoul, South Korea
|
200MW |
|
Google Cloud — Denmark Data Center (Fredericia)
Fredericia, Denmark
|
180MW |
|
Yandex Cloud — AI Training Data Centers
Mäntyselkä (Moscow region), Russia
|
150MW |
|
AWS — Africa (Cape Town) af-south-1
Cape Town, South Africa
|
120MW |
|
Google DeepMind — London AI Research Cluster
London, United Kingdom
|
80MW |
|
Oracle Cloud — South Korea (Seoul)
Seoul, South Korea
|
80MW |
|
Waymo / Google — Autonomous Driving AI Training Cluster
Mountain View, United States
|
80MW |
|
Amazon Web Services — Cape Town Africa Region (af-south-1)
Cape Town, South Africa
|
60MW |
|
AWS — Cape Town Africa Region
Cape Town, South Africa
|
60MW |
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.