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
CtrlS Mumbai DC4	CtrlS	Mumbai, India	Mixed	24	1.35
CtrlS SINGAPORE31 Central	CtrlS	Singapore, Singapore	MI300X	6	1.44
CtrlS SINGAPORE35 Annex	CtrlS	Singapore, Singapore	B200	10	1.45
CtrlS SINGAPORE37 Central	CtrlS	Singapore, Singapore	A100	7	1.39
CtrlS TOKYO47	CtrlS	Tokyo, Japan	B200	25	1.24
CtrlS TOKYO74 North	CtrlS	Tokyo, Japan	H100	23	1.42
CtrlS TOKYO78 South	CtrlS	Tokyo, Japan	—	28	1.25
CtrlS TOKYO80	CtrlS	Tokyo, Japan	H200	25	1.21
CtrlS OSAKA7 East	CtrlS	Osaka, Japan	—	7	1.46
CtrlS OSAKA30 Annex	CtrlS	Osaka, Japan	—	2	1.49
CtrlS SEOUL41 West	CtrlS	Seoul, South Korea	—	5	1.43
CtrlS SEOUL42 East	CtrlS	Seoul, South Korea	H200	19	1.55
CtrlS SEOUL50 Central	CtrlS	Seoul, South Korea	—	27	1.31
CtrlS BUSAN8	CtrlS	Busan, South Korea	—	21	1.35
CtrlS BUSAN14 North	CtrlS	Busan, South Korea	—	17	1.29
CtrlS HONG3 Annex	CtrlS	Hong Kong, Hong Kong	H100	11	1.50
CtrlS HONG5 Annex	CtrlS	Hong Kong, Hong Kong	A100	22	1.24
CtrlS HONG7	CtrlS	Hong Kong, Hong Kong	B200	23	1.30
CtrlS HONG41 West	CtrlS	Hong Kong, Hong Kong	—	28	1.35
CtrlS HONG45 Campus	CtrlS	Hong Kong, Hong Kong	B200	14	1.53
CtrlS HONG49 Park	CtrlS	Hong Kong, Hong Kong	—	8	1.46
CtrlS HONG50 Annex	CtrlS	Hong Kong, Hong Kong	—	19	1.22
CtrlS SHANGHAI72 Campus	CtrlS	Shanghai, China	H100	7	1.43
CtrlS MUMBAI35 Park	CtrlS	Mumbai, India	MI300X	24	1.29
CtrlS MUMBAI39 Campus	CtrlS	Mumbai, India	—	27	1.31
CtrlS CHENNAI28 Central	CtrlS	Chennai, India	—	13	1.51
CtrlS HYDERABAD9	CtrlS	Hyderabad, India	A100	13	1.52
CtrlS HYDERABAD31 East	CtrlS	Hyderabad, India	L40S	5	1.41
CtrlS KOLKATA4 Campus	CtrlS	Kolkata, India	—	12	1.55
CtrlS BRISBANE21 East	CtrlS	Brisbane, Australia	—	23	1.38
CtrlS JAKARTA33	CtrlS	Jakarta, Indonesia	L40S	27	1.34
CtrlS JAKARTA34 West	CtrlS	Jakarta, Indonesia	—	9	1.48
CtrlS JOHOR26 Campus	CtrlS	Johor Bahru, Malaysia	L40S	16	1.25

CtrlS

How many datacenters does CtrlS operate?

Which GPUs does CtrlS deploy?

In which countries does CtrlS operate?

Company → Datacenter → GPU → Customer → Industry