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4,573 tracked

Entities

Registers of the facilities, companies and countries on record, with the ownership chains between them.

710 of 4,257 facility records carry an operational measure

4,257 facility records are individually browsable here, of which 710 carry an operational measure: power, GPU or FLOP capacity, or a substantive description. The other 3,547 establish that a site exists and stop there. Which of the two a record is depends almost entirely on the catalogue it arrived in.

Two counts on this page

Two counts appear on this page and they are not the same quantity. The masthead stamps 4,573 tracked records: the full corpus across 110 countries, the figure used site-wide. The register and the plate count the 4,257 that are individually browsable; the 316 in between are rows a licensing term keeps from being served as their own record. They inform aggregates and they are not hidden. They cannot be opened, so a figure about what a reader can inspect must not count them. The same universe is plotted in space on the map, rolled up by jurisdiction on Countries, and the organisations that own and operate these sites are in the company register.

  1. Epoch AI Frontier Data Centers7064 measured91.4%
  2. Epoch AI GPU Clusters437397 measured90.8%
  3. PeeringDB facility registry1,56963 measured4.0%
  4. IM3 / PNNL data-center corpus3912 measured0.5%
  5. OpenStreetMap (tagged data centers)1,1731 measured0.1%
  6. OpenStreetMap2310 measured0.0%
  7. Microsoft Azure region documentation560 measured0.0%
  8. Oracle Cloud region documentation450 measured0.0%
  9. 43 smaller catalogues285183 measured64.2%
Coverage by catalogue. Each band is one catalogue: its length is that catalogue’s share of the largest one’s row count, and the inked run inside it is the rows carrying at least one operational measure (power, GPU or FLOP capacity, or a substantive description). Nothing here is schematic; both lengths are measured proportions of the counts printed beside them. No share-of-megawatts is drawn: every megawatt-bearing row satisfies the measured predicate by construction, so a capacity share would be a tautology. Counts cover the full individually-browsable set, 4,257 rows, read 25 August 2026. The smallest catalogues are folded into one band whose run is hatched, because it averages catalogues of both kinds. Each named catalogue’s key opens the register below scoped to its rows.

Epoch AI Frontier Data Centers runs 91.4% measured across 70 records; OpenStreetMap runs 0.0% across 231. No single catalogue falls in between; the hatched band does, but it is the fold of 43 smaller catalogues and reads mid-scale only because it averages the two kinds. The separation exists because the two kinds of catalogue do different jobs: one is a research dataset built by measuring sites, the other an infrastructure registry built by recording that they exist. Any band’s key below opens the register scoped to that catalogue’s rows.

This is why the register opens on the measured cohort and says so; shown whole, most of the 4,257 rows could not answer the question a reader arrived with. The positional records are not filler: a site that exists is a real fact, and for a governance reader tracing where capacity might appear it is often the fact that matters. But it is a different fact from a megawatt figure, and a register that prints them in one undifferentiated count makes a uniformity claim its records do not support.

The register

Showing all 4,257 records, including the 3,547 positional ones with no capacity figure attached. Show only the 710 measured.

651700 of 4,257Page 14 of 86
FacilityCountryTypeStatusPower (MW)
Alibaba Cloud in AustraliaEpoch AI GPU ClustersAUAI trainingDecommissioned
Alibaba Cloud in GermanyEpoch AI GPU ClustersDEAI trainingOperational
Alibaba Cloud in IndiaEpoch AI GPU ClustersINAI trainingDecommissioned
Alibaba Cloud in IndonesiaEpoch AI GPU ClustersIDAI trainingOperational
Alibaba Cloud in JapanEpoch AI GPU ClustersJPAI trainingOperational
Alibaba Cloud in Malaysia Phase 1Epoch AI GPU ClustersMYAI trainingOperational
Alibaba Cloud in Malaysia Phase 2Epoch AI GPU ClustersMYAI trainingOperational
Alibaba Cloud in MexicoEpoch AI GPU ClustersMXAI trainingOperational
Alibaba Cloud in Philippines Phase 1Epoch AI GPU ClustersPHAI trainingOperational
Alibaba Cloud in Philippines Phase 2Epoch AI GPU ClustersPHAI trainingAnnounced
Alibaba Cloud in Saudi ArabiaEpoch AI GPU ClustersSAAI trainingOperational
Alibaba Cloud in Silicon ValleyEpoch AI GPU ClustersUSAI trainingOperational
Alibaba Cloud in SingaporeEpoch AI GPU ClustersSGAI trainingOperational
Alibaba Cloud in South Korea Phase 1Epoch AI GPU ClustersKRAI trainingOperational
Alibaba Cloud in South Korea Phase 2Epoch AI GPU ClustersKRAI trainingOperational
Alibaba Cloud in Thailand Phase 1Epoch AI GPU ClustersTHAI trainingOperational
Alibaba Cloud in Thailand Phase 2Epoch AI GPU ClustersTHAI trainingOperational
Alibaba Cloud in UAEEpoch AI GPU ClustersAEAI trainingOperational
Alibaba Cloud in United KingdomEpoch AI GPU ClustersGBAI trainingOperational
Alibaba Cloud in VirginiaEpoch AI GPU ClustersUSAI trainingOperational
Alps Supercomputer Phase 1Epoch AI GPU ClustersCHAI trainingOperational
Applied Digital CoreWeave Ellendale Phase 1Epoch AI GPU ClustersUSAI trainingAnnounced
Applied Digital CoreWeave Ellendale Phase 2Epoch AI GPU ClustersUSAI trainingAnnounced
AWS EC2 Trn1Epoch AI GPU ClustersUSAI trainingOperational
Cambridge Dawn Phase 2Epoch AI GPU ClustersGBAI trainingAnnounced
Condor Galaxy 1 (CG-1)Epoch AI GPU ClustersUSAI trainingOperational
Condor Galaxy 3 (CG-3)Epoch AI GPU ClustersUSAI trainingAnnounced
Condor Galaxy 4 (CG-4)Epoch AI GPU ClustersAI trainingAnnounced
Condor Galaxy 5 (CG-5)Epoch AI GPU ClustersAI trainingAnnounced
Condor Galaxy 6 (CG-6)Epoch AI GPU ClustersAI trainingAnnounced
Condor Galaxy 7 (CG-7)Epoch AI GPU ClustersAI trainingAnnounced
Condor Galaxy 8 (CG-8)Epoch AI GPU ClustersAI trainingAnnounced
Condor Galaxy 9 (CG-9)Epoch AI GPU ClustersAI trainingAnnounced
Core42 AI-03Epoch AI GPU ClustersAEAI trainingOperational
CoreWeave Hillsboro OregonEpoch AI GPU ClustersUSAI trainingAnnounced
CSCS Piz Daint Phase 1Epoch AI GPU ClustersCHAI trainingOperational
DataVolt Neom 1.5 GW Phase 1Epoch AI GPU ClustersSAAI trainingAnnounced
Eni HPC4 Phase 1Epoch AI GPU ClustersITAI trainingOperational
Gcore data center Phase 1Epoch AI GPU ClustersKRAI trainingOperational
Google Council Bluff IowaEpoch AI GPU ClustersUSAI trainingAnnounced
Google Lancaster OhioEpoch AI GPU ClustersUSAI trainingAnnounced
Google Lincoln NebraskaEpoch AI GPU ClustersUSAI trainingAnnounced
Google Omaha NebraskaEpoch AI GPU ClustersUSAI trainingAnnounced
Google south Columbus OhioEpoch AI GPU ClustersUSAI trainingAnnounced
Horizon Compute Baobab Phase 1Epoch AI GPU ClustersUSAI trainingOperational
HPE GreenLake for LLMs Q01Epoch AI GPU ClustersCAAI trainingOperational
HUMAIN Saudi Arabia/NVIDIA Phase 1Epoch AI GPU ClustersSAAI trainingAnnounced
IndiaAI Mission SupercomputerEpoch AI GPU ClustersINAI trainingAnnounced
JAMSTEC ZettaScaler-2.0 GyoukouEpoch AI GPU ClustersJPAI trainingOperational
Jean Zay Supercomputer Phase 1Epoch AI GPU ClustersFRAI trainingOperational