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.

Matching facilities

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Recorded capacity

With recorded MW

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Page

Countryreset

Japan 28

Metro

Tokyo 17 Osaka 4 Fukuoka 1 Nagoya 1 Okinawa 1 Oyama 1 Sapporo 1 Sendai 1 Yokohama 1

City

Tokyo 17 Osaka 4 Fukuoka 1 Nagoya 1 Okinawa 1 Oyama 1 Sapporo 1 Sendai 1 Yokohama 1

Operator

KDDI 9 Colt DCS 6 Equinix 3 NTT GDC 2 Princeton Digital Group 2 Telehouse 2 Digital Realty 1 EdgeConneX 1 STACK Infrastructure 1 Vantage Data Centers 1

Facility typereset

Colocation 28

Operational statusreset

Operational 28

Verification status

Publicly Reported 19 Operator Confirmed 9

[Results · 1–28 of 28]

Sourced data-centre facilities matching the current filters
Facility	Operator	Metro	Type	Status	Recorded MW	Confidence
Equinix TY2	Equinix	Tokyo, Japan	Colocation	Operational	Not publicly disclosed	High
Equinix TY3	Equinix	Tokyo, Japan	Colocation	Operational	Not publicly disclosed	High
Equinix OS1	Equinix	Osaka, Japan	Colocation	Operational	Not publicly disclosed	High
Digital Realty Tokyo	Digital Realty	Tokyo, Japan	Colocation	Operational	Not publicly disclosed	High
NTT Tokyo	NTT GDC	Tokyo, Japan	Colocation	Operational	Not publicly disclosed	High
NTT Osaka	NTT GDC	Osaka, Japan	Colocation	Operational	Not publicly disclosed	High
Vantage Tokyo	Vantage Data Centers	Tokyo, Japan	Colocation	Operational	Not publicly disclosed	High
STACK Tokyo	STACK Infrastructure	Tokyo, Japan	Colocation	Operational	Not publicly disclosed	High
Telehouse Tokyo Shinjuku	Telehouse	Tokyo, Japan	Colocation	Operational	Not publicly disclosed	High
Telehouse Osaka	Telehouse	Osaka, Japan	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
Colt DCS Osaka Keihanna	Colt DCS	Osaka, Japan	Colocation	Operational	Not publicly disclosed	High
Colt DCS Tokyo Shiohama	Colt DCS	Tokyo, Japan	Colocation	Operational	Not publicly disclosed	High
Colt DCS Tokyo Inzai 1	Colt DCS	Tokyo, Japan	Colocation	Operational	Not publicly disclosed	High
Colt DCS Tokyo Inzai 2	Colt DCS	Tokyo, Japan	Colocation	Operational	Not publicly disclosed	High
Colt DCS Tokyo Inzai 3	Colt DCS	Tokyo, Japan	Colocation	Operational	Not publicly disclosed	High
Colt DCS Tokyo Inzai 4	Colt DCS	Tokyo, Japan	Colocation	Operational	Not publicly disclosed	High
EdgeConneX Tokyo	EdgeConneX	Tokyo, Japan	Colocation	Operational	Not publicly disclosed	High
PDG TY1 Tokyo	Princeton Digital Group	Tokyo, Japan	Colocation	Operational	Not publicly disclosed	High
PDG TY2 Tokyo	Princeton Digital Group	Tokyo, Japan	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.