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 pricing, capacity, power, fabric, and latency across 240+ facilities and 40+ operators into a single queryable graph for AI agents, traders, and procurement teams.

How many datacenters are in Seattle, WA?

50 indexed AI-capable datacenters, totaling 864 MW.

Which operators run datacenters in Seattle, WA?

STACK Infrastructure, Iron Mountain, eStruxture, EdgeConneX, CoreSite, TierPoint, Compass Datacenters, Novva Data Centers, T5 Data Centers, QTS Data Centers, Cologix, NTT Global Data Centers, Flexential, DataBank, Sabey Data Centers, H5 Data Centers, Yondr, CyrusOne

[DC.COMPUTER] Layer 3 · City · USA

AI Datacenters in

Every indexed AI and GPU datacenter in Seattle, WA, USA.

Seattle, WA

[AI Summary]

Seattle, WA, USA hosts 50 AI-capable datacenters totaling 864 MW of IT capacity, operated by 18 companies.

Facilities

864 MW

Total IT

Operators

[Facilities · 50]

Facility	Operator	Location	GPU	MW	PUE
STACK Infrastructure SEATTLE1 Campus	STACK Infrastructure	Seattle, WA, USA	H200	22	1.28
Iron Mountain SEATTLE2 South	Iron Mountain	Seattle, WA, USA	—	24	1.31
eStruxture SEATTLE3	eStruxture	Seattle, WA, USA	—	15	1.55
STACK Infrastructure SEATTLE4 Campus	STACK Infrastructure	Seattle, WA, USA	—	24	1.30
eStruxture SEATTLE5 North	eStruxture	Seattle, WA, USA	—	11	1.48
STACK Infrastructure SEATTLE6	STACK Infrastructure	Seattle, WA, USA	—	22	1.27
eStruxture SEATTLE7 South	eStruxture	Seattle, WA, USA	—	13	1.53
Iron Mountain SEATTLE8 Annex	Iron Mountain	Seattle, WA, USA	—	17	1.53
eStruxture SEATTLE9 Annex	eStruxture	Seattle, WA, USA	—	16	1.50
STACK Infrastructure SEATTLE10 Central	STACK Infrastructure	Seattle, WA, USA	A100	22	1.43
EdgeConneX SEATTLE11 Annex	EdgeConneX	Seattle, WA, USA	—	26	1.29
CoreSite SEATTLE12 East	CoreSite	Seattle, WA, USA	—	15	1.21
EdgeConneX SEATTLE13 North	EdgeConneX	Seattle, WA, USA	—	12	1.48
TierPoint SEATTLE14 West	TierPoint	Seattle, WA, USA	—	22	1.28
Compass Datacenters SEATTLE15 Park	Compass Datacenters	Seattle, WA, USA	—	30	1.32
TierPoint SEATTLE16 North	TierPoint	Seattle, WA, USA	H100	9	1.44
Compass Datacenters SEATTLE17 South	Compass Datacenters	Seattle, WA, USA	MI300X	24	1.25
Novva Data Centers SEATTLE18 South	Novva Data Centers	Seattle, WA, USA	H100	25	1.29
Compass Datacenters SEATTLE19	Compass Datacenters	Seattle, WA, USA	—	28	1.33
TierPoint SEATTLE20 West	TierPoint	Seattle, WA, USA	—	26	1.30
EdgeConneX SEATTLE21 Central	EdgeConneX	Seattle, WA, USA	—	27	1.34
T5 Data Centers SEATTLE22 North	T5 Data Centers	Seattle, WA, USA	H100	7	1.37
EdgeConneX SEATTLE23 North	EdgeConneX	Seattle, WA, USA	—	7	1.42
T5 Data Centers SEATTLE24 Annex	T5 Data Centers	Seattle, WA, USA	L40S	8	1.29
QTS Data Centers SEATTLE25 North	QTS Data Centers	Seattle, WA, USA	—	6	1.44
T5 Data Centers SEATTLE26 Central	T5 Data Centers	Seattle, WA, USA	—	3	1.37
EdgeConneX SEATTLE27 Annex	EdgeConneX	Seattle, WA, USA	—	13	1.48
T5 Data Centers SEATTLE28 East	T5 Data Centers	Seattle, WA, USA	—	6	1.44
Compass Datacenters SEATTLE29 Central	Compass Datacenters	Seattle, WA, USA	—	18	1.22
Cologix SEATTLE30 North	Cologix	Seattle, WA, USA	L40S	13	1.49
CoreSite SEATTLE31	CoreSite	Seattle, WA, USA	—	30	1.37
NTT Global Data Centers SEATTLE32 South	NTT Global Data Centers	Seattle, WA, USA	—	11	1.46
T5 Data Centers SEATTLE33 North	T5 Data Centers	Seattle, WA, USA	—	20	1.24
Compass Datacenters SEATTLE34 Annex	Compass Datacenters	Seattle, WA, USA	—	2	1.38
CoreSite SEATTLE35 East	CoreSite	Seattle, WA, USA	H200	8	1.21
Flexential SEATTLE36 South	Flexential	Seattle, WA, USA	H100	14	1.50
Cologix SEATTLE37 West	Cologix	Seattle, WA, USA	—	28	1.32
Compass Datacenters SEATTLE38 East	Compass Datacenters	Seattle, WA, USA	L40S	3	1.40
Novva Data Centers SEATTLE39 Campus	Novva Data Centers	Seattle, WA, USA	—	28	1.35
Flexential SEATTLE40 Campus	Flexential	Seattle, WA, USA	—	3	1.35
DataBank SEATTLE41 East	DataBank	Seattle, WA, USA	—	18	1.23
Sabey Data Centers SEATTLE42 North	Sabey Data Centers	Seattle, WA, USA	—	27	1.31
H5 Data Centers SEATTLE43 South	H5 Data Centers	Seattle, WA, USA	B200	17	1.22
DataBank SEATTLE44 Park	DataBank	Seattle, WA, USA	—	30	1.37
Yondr SEATTLE45 Central	Yondr	Seattle, WA, USA	—	26	1.34
H5 Data Centers SEATTLE46 Campus	H5 Data Centers	Seattle, WA, USA	A100	27	1.34
Sabey Data Centers SEATTLE47 West	Sabey Data Centers	Seattle, WA, USA	B200	24	1.28
CyrusOne SEATTLE48 South	CyrusOne	Seattle, WA, USA	—	13	1.52
CyrusOne SEATTLE49 East	CyrusOne	Seattle, WA, USA	—	18	1.23
Sabey Data Centers SEATTLE50 West	Sabey Data Centers	Seattle, WA, USA	B200	6	1.39

[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.