Question 1

What is an AI datacenter?

Accepted Answer

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.

Question 2

Which datacenter has the most GPUs?

Accepted Answer

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.

Question 3

What is the largest AI cluster?

Accepted Answer

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.

Question 4

Which GPU cloud is cheapest for H100?

Accepted Answer

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.

Question 5

How is Datacenter.computer different from a datacenter directory?

Accepted Answer

Datacenter.computer is an agent-readable intelligence layer, not a directory. It normalizes pricing, capacity, power, fabric, and latency across 240+ facilities and 40+ operators into a single queryable graph for AI agents, traders, and procurement teams.

Facility	Operator	Location	GPU	MW	PUE
Keppel DC SINGAPORE11 West	Keppel DC	Singapore, Singapore	—	28	1.29
Keppel DC SINGAPORE17	Keppel DC	Singapore, Singapore	—	31	1.27
Keppel DC SINGAPORE47 East	Keppel DC	Singapore, Singapore	—	38	1.34
Keppel DC SINGAPORE62 East	Keppel DC	Singapore, Singapore	—	22	1.22
Keppel DC TOKYO57 Park	Keppel DC	Tokyo, Japan	—	6	1.40
Keppel DC TOKYO83 East	Keppel DC	Tokyo, Japan	A100	23	1.53
Keppel DC TOKYO85 Park	Keppel DC	Tokyo, Japan	H200	29	1.27
Keppel DC OSAKA33 Central	Keppel DC	Osaka, Japan	—	11	1.49

Keppel DC MUMBAI56 Campus

Company → Datacenter → GPU → Customer → Industry