What is an AI datacenter?

An AI datacenter is a facility purpose-built or retrofitted for GPU and accelerator workloads — typically at rack densities above 30 kW, with liquid-cooling readiness and high-bandwidth fabric (InfiniBand NDR, NVLink, or Spectrum-X). At least 40% of IT load runs AI training or inference on GPUs such as NVIDIA H100, H200, B200, or GB200 NVL72.

Which datacenter has the most GPUs?

As of 2026, xAI Colossus in Memphis, Tennessee holds the title of the world's largest single-site GPU deployment, with more than 200,000 NVIDIA H100 and H200 GPUs in one InfiniBand domain. Meta Hyperion (Louisiana) and OpenAI Stargate Abilene (Texas) are scaling toward gigawatt-class deployments that will overtake it within the next 18 months.

What is the largest AI cluster?

xAI Colossus is the largest contiguous AI training cluster in 2026, exceeding 200,000 NVIDIA H100/H200 GPUs on a single InfiniBand NDR 400G fabric. Meta's Hyperion build and OpenAI's Stargate program are constructing multi-site fabrics that will exceed one million accelerators across coupled campuses by 2027.

Which GPU cloud is cheapest for H100?

On-demand: Together AI ($1.75/hr) and Voltage Park ($1.89/hr) lead. Reserved 1-year: Voltage Park ($1.20/hr) and Crusoe ($1.39/hr) are typically lowest. AWS p5 sits at the top of the price stack at ~$4.10/hr on-demand.

How is Datacenter.computer different from a datacenter directory?

Datacenter.computer is an agent-readable intelligence layer, not a directory. It normalizes capacity, power, fabric and location across 833 sourced facilities and 40 operators into a single queryable graph for AI agents, traders and procurement teams.

[MAP] Discovery · Map

Global data centre map · 833 sourced facilities

A geographic view of the sourced index. The map is a visual aid only — the authoritative, crawlable dataset is the HTML table below it.

[AI Summary]

The map plots 833 individually sourced data-centre facilities across 53 countries and 290 metros. Coordinates are metro or campus-level approximations, never surveyed positions, and no marker is generated from a modelled market signal. The same records are listed as standard HTML links below so crawlers and agents can enumerate every facility without JavaScript.

660

Matching facilities

0 MW

Recorded capacity

With recorded MW

5 / 14

Page

Country

Metro

City

Operator

Facility type

Colocation 606 Hyperscaler 32 Sovereign 22

Operational statusreset

Operational 660

Capacity classificationreset

Not disclosed 660

Verification status

Operator Confirmed 435 Publicly Reported 225

[Results · 201–250 of 660]

Sourced data-centre facilities matching the current filters
Facility	Operator	Metro	Type	Status	Recorded MW	Confidence
STT GDC Singapore 2	STT GDC	Singapore, Singapore	Colocation	Operational	Not publicly disclosed	High
STT GDC Singapore 3	STT GDC	Singapore, Singapore	Colocation	Operational	Not publicly disclosed	High
STT GDC Singapore 4	STT GDC	Singapore, Singapore	Colocation	Operational	Not publicly disclosed	High
STT GDC Singapore 5	STT GDC	Singapore, Singapore	Colocation	Operational	Not publicly disclosed	High
STT GDC Johor	STT GDC	Johor Bahru, Malaysia	Colocation	Operational	Not publicly disclosed	High
STT GDC Kuala Lumpur	STT GDC	Kuala Lumpur, Malaysia	Colocation	Operational	Not publicly disclosed	High
STT GDC Mumbai	STT GDC	Mumbai, India	Colocation	Operational	Not publicly disclosed	High
STT GDC Bangalore	STT GDC	Bangalore, India	Colocation	Operational	Not publicly disclosed	High
STT GDC Delhi	STT GDC	Delhi, India	Colocation	Operational	Not publicly disclosed	High
STT GDC Chennai	STT GDC	Chennai, India	Colocation	Operational	Not publicly disclosed	High
STT GDC London	STT GDC	London, UK, United Kingdom	Colocation	Operational	Not publicly disclosed	High
STT GDC Slough	STT GDC	Slough, UK, United Kingdom	Colocation	Operational	Not publicly disclosed	High
STT GDC Bangkok	STT GDC	Bangkok, Thailand	Colocation	Operational	Not publicly disclosed	High
STT GDC Jakarta	STT GDC	Jakarta, Indonesia	Colocation	Operational	Not publicly disclosed	High
STT GDC Seoul	STT GDC	Seoul, South Korea	Colocation	Operational	Not publicly disclosed	High
STT GDC Seoul 1	STT GDC	Seoul, South Korea	Colocation	Operational	Not publicly disclosed	High
TELEHOUSE Sapporo	KDDI	Sapporo, Japan	Colocation	Operational	Not publicly disclosed	High
TELEHOUSE Sendai	KDDI	Sendai, Japan	Colocation	Operational	Not publicly disclosed	High
TELEHOUSE Oyama	KDDI	Oyama, Japan	Colocation	Operational	Not publicly disclosed	High
TELEHOUSE Tokyo Toyosu	KDDI	Tokyo, Japan	Colocation	Operational	Not publicly disclosed	High
TELEHOUSE Tokyo Tama	KDDI	Tokyo, Japan	Colocation	Operational	Not publicly disclosed	High
TELEHOUSE Yokohama	KDDI	Yokohama, Japan	Colocation	Operational	Not publicly disclosed	High
TELEHOUSE Nagoya	KDDI	Nagoya, Japan	Colocation	Operational	Not publicly disclosed	High
TELEHOUSE Fukuoka	KDDI	Fukuoka, Japan	Colocation	Operational	Not publicly disclosed	High
TELEHOUSE Okinawa	KDDI	Okinawa, Japan	Colocation	Operational	Not publicly disclosed	High
AirTrunk SYD1 Sydney West	AirTrunk	Sydney, Australia	Hyperscaler	Operational	Not publicly disclosed	High
AirTrunk SYD2 Sydney North	AirTrunk	Sydney, Australia	Hyperscaler	Operational	Not publicly disclosed	High
AirTrunk SYD3 Sydney West	AirTrunk	Sydney, Australia	Hyperscaler	Operational	Not publicly disclosed	High
AirTrunk MEL1 Melbourne	AirTrunk	Melbourne, Australia	Hyperscaler	Operational	Not publicly disclosed	High
AirTrunk MEL2 Melbourne	AirTrunk	Melbourne, Australia	Hyperscaler	Operational	Not publicly disclosed	High
AirTrunk HKG1 Hong Kong	AirTrunk	Hong Kong, Hong Kong	Hyperscaler	Operational	Not publicly disclosed	High
AirTrunk HKG2 Hong Kong	AirTrunk	Hong Kong, Hong Kong	Hyperscaler	Operational	Not publicly disclosed	High
AirTrunk BOM1 Mumbai	AirTrunk	Mumbai, India	Hyperscaler	Operational	Not publicly disclosed	High
AirTrunk BOM2 Mumbai	AirTrunk	Mumbai, India	Hyperscaler	Operational	Not publicly disclosed	High
AirTrunk BOM3 Mumbai	AirTrunk	Mumbai, India	Hyperscaler	Operational	Not publicly disclosed	High
AirTrunk MAA1 Chennai	AirTrunk	Chennai, India	Hyperscaler	Operational	Not publicly disclosed	High
AirTrunk HYD1 Hyderabad	AirTrunk	Hyderabad, India	Hyperscaler	Operational	Not publicly disclosed	High
AirTrunk TOK1 Tokyo East	AirTrunk	Tokyo, Japan	Hyperscaler	Operational	Not publicly disclosed	High
AirTrunk TOK2 Tokyo West	AirTrunk	Tokyo, Japan	Hyperscaler	Operational	Not publicly disclosed	High
AirTrunk OSK1 Osaka West	AirTrunk	Osaka, Japan	Hyperscaler	Operational	Not publicly disclosed	High
AirTrunk OSK2 Osaka Downtown East	AirTrunk	Osaka, Japan	Hyperscaler	Operational	Not publicly disclosed	High
AirTrunk JHB1 Johor Bahru	AirTrunk	Johor Bahru, Malaysia	Hyperscaler	Operational	Not publicly disclosed	High
AirTrunk JHB2 Johor Bahru	AirTrunk	Johor Bahru, Malaysia	Hyperscaler	Operational	Not publicly disclosed	High
AirTrunk SGP1 Singapore	AirTrunk	Singapore, Singapore	Hyperscaler	Operational	Not publicly disclosed	High
AirTrunk SGP2 Singapore	AirTrunk	Singapore, Singapore	Hyperscaler	Operational	Not publicly disclosed	High
NEXTDC S1 Macquarie Park	NEXTDC	Sydney, Australia	Colocation	Operational	Not publicly disclosed	High
NEXTDC S2 Macquarie Park	NEXTDC	Sydney, Australia	Colocation	Operational	Not publicly disclosed	High
NEXTDC S3 Artarmon	NEXTDC	Sydney, Australia	Colocation	Operational	Not publicly disclosed	High
NEXTDC S6 Artarmon	NEXTDC	Sydney, Australia	Colocation	Operational	Not publicly disclosed	High
NEXTDC M1 Port Melbourne	NEXTDC	Melbourne, Australia	Colocation	Operational	Not publicly disclosed	High

[Map view]

[MAP] Global Datacenter Index

833 facilities · 40 operators · 53 countries · 4,536.77 MW

Showing top 250 of 833 facilities in this view.

Positions are approximate. Verify any siting decision against the operator source linked on each facility page.

Counts are computed live from the sourced facility index. Fields without a public basis show “Not publicly disclosed”. See the methodology, the data dictionary and the public API.

[Knowledge Graph]

Company → Datacenter → GPU → Customer → Industry

Every entity on this site is cross-linked. Follow the graph from operators down to specific facilities, GPU clusters, customers, and sectoral context.