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
Nscale Glomfjord	Nscale	Bodø, Norway	H100/MI300X	60	1.12
Azure Norway East	Microsoft Azure	Oslo, Norway	H100	150	1.10
Nscale Glomfjord NO	Nscale	Glomfjord, Norway	MI300X	60	1.10
Green Mountain DC1	Green Mountain	Rennesøy, Norway	H100	35	1.10
Hetzner OSLO1 North	Hetzner	Oslo, Norway	—	10	1.51
Digital Realty / Interxion OSLO2 South	Digital Realty / Interxion	Oslo, Norway	H200	15	1.25
Penta Infra OSLO3	Penta Infra	Oslo, Norway	—	9	1.47
Global Switch OSLO4	Global Switch	Oslo, Norway	—	18	1.29
Telefonica OSLO5 Central	Telefonica	Oslo, Norway	—	12	1.20
Green Mountain OSLO6 Central	Green Mountain	Oslo, Norway	B200	17	1.24
Bulk Infrastructure OSLO7 Central	Bulk Infrastructure	Oslo, Norway	—	6	1.43
STACK EMEA OSLO8 Annex	STACK EMEA	Oslo, Norway	A100	9	1.46
Data4 OSLO9	Data4	Oslo, Norway	—	15	1.25
Aruba OSLO10 South	Aruba	Oslo, Norway	—	10	1.53
Equinix OSLO11	Equinix	Oslo, Norway	B200	3	1.41
Telefonica OSLO12 Central	Telefonica	Oslo, Norway	—	16	1.26
EdgeConneX OSLO13	EdgeConneX	Oslo, Norway	B200	18	1.35
Equinix OSLO14	Equinix	Oslo, Norway	—	23	1.38
Equinix OSLO15 East	Equinix	Oslo, Norway	—	10	1.24
IONOS OSLO16 East	IONOS	Oslo, Norway	—	9	1.47
Equinix OSLO17 North	Equinix	Oslo, Norway	—	8	1.46
EdgeConneX OSLO18 Park	EdgeConneX	Oslo, Norway	—	17	1.30
Equinix OSLO19	Equinix	Oslo, Norway	—	12	1.21
EdgeConneX OSLO20 Campus	EdgeConneX	Oslo, Norway	—	7	1.48
Digital Realty / Interxion OSLO21 Park	Digital Realty / Interxion	Oslo, Norway	—	12	1.52

AI Datacenters in

Company → Datacenter → GPU → Customer → Industry