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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 26 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.

201250 of 4,257Page 5 of 86
FacilityCountryTypeStatusPower (MW)
KAUST Shaheen-IIIEpoch AI GPU ClustersSAAI trainingAnnounced5
CoreWeave LiquidLabEpoch AI GPU ClustersUSAI trainingOperational6
OneAsia OBON ClustersEpoch AI GPU ClustersTHAI trainingAnnounced6
Sweden 4k H100 ClusterEpoch AI GPU ClustersSEAI trainingOperational6
ExxonMobil Discovery 6Epoch AI GPU ClustersUSAI trainingOperational6
Lawrence Livermore NL TuolumneEpoch AI GPU ClustersUSAI trainingOperational6
PanaAI AUS AISFEpoch AI GPU ClustersAUAI trainingAnnounced6
Voltage Park Location 5Epoch AI GPU ClustersUSAI trainingAnnounced6
Voltage Park Location 6Epoch AI GPU ClustersUSAI trainingAnnounced6
Voltage Park Texas Phase 2Epoch AI GPU ClustersUSAI trainingAnnounced6
Voltage Park UtahEpoch AI GPU ClustersUSAI trainingAnnounced6
Voltage Park VirginiaEpoch AI GPU ClustersUSAI trainingAnnounced6
Voltage Park WashingtonEpoch AI GPU ClustersUSAI trainingAnnounced6
Sesterce Synapse Phase 2Epoch AI GPU ClustersFRAI trainingOperational6
NFDG Andromeda Phase 2Epoch AI GPU ClustersUSAI trainingOperational6
Microsoft Azure ND H100 v5 VMEpoch AI GPU ClustersUSAI trainingOperational6
Mistral Large Model Implied ClusterEpoch AI GPU ClustersAI trainingOperational6
Sesterce H100s Phase 2Epoch AI GPU ClustersFRAI trainingOperational6
Mare Nostrum 5Epoch AI GPU ClustersESAI trainingOperational6
Tesla A100 Cluster Phase 2Epoch AI GPU ClustersUSAI trainingOperational6
Together AI H100 ClusterEpoch AI GPU ClustersUSAI trainingOperational6
Azure OpenAI GPT-3 ClusterEpoch AI GPU ClustersUSAI trainingOperational7
Meta Research SuperCluster 2 (RSC-2)Epoch AI GPU ClustersUSAI trainingOperational7
NVIDIA Eos Phase 2Epoch AI GPU ClustersUSAI trainingOperational7
Lawrence Berkeley NL NERSC PerlmutterEpoch AI GPU ClustersUSAI trainingOperational7
Scaleway DC3 (PAR1)Scaleway corporate disclosuresFRColocationOperational7
Nebius ISEG2Epoch AI GPU ClustersISAI trainingOperational7
Sustainable Metal Cloud Singapore Phase 2Epoch AI GPU ClustersSGAI trainingAnnounced7
LUMI Supercomputer (CSC Finland)Scrutica internal fixture recordFIHPC centerOperational7
University of Bristol Isambard-AIEpoch AI GPU ClustersGBAI trainingOperational8
SoftBank Planned B200 SuperpodEpoch AI GPU ClustersJPAI trainingAnnounced8
Aramco Groq Inference ClusterEpoch AI GPU ClustersSAAI trainingOperational9
AIST ABCI 3.0Epoch AI GPU ClustersJPAI trainingOperational9
Google Hypercomputer TPU v5p podEpoch AI GPU ClustersAI trainingOperational10
Foxconn Hon Hai Kaohsiung SupercomputerEpoch AI GPU ClustersTWAI trainingAnnounced11
Magic G4 Google Cloud RentalEpoch AI GPU ClustersUSAI trainingOperational11
Amazon Titan training clusterEpoch AI GPU ClustersUSAI trainingOperational11
Lawrence Livermore NL SierraEpoch AI GPU ClustersUSAI trainingOperational12
Sesterce NordicsEpoch AI GPU ClustersAI trainingOperational12
Alps Supercomputer Phase 2Epoch AI GPU ClustersCHAI trainingOperational12
Equinix LD5 (London)Company disclosure (press / IR)GBColocationOperational12
Saudi Data & AI Authority Sovereign AI factoryEpoch AI GPU ClustersSAAI trainingAnnounced12
EuroHPC LUMIEpoch AI GPU ClustersFIAI trainingOperational12
S. Korea 6th national supercomputerEpoch AI GPU ClustersKRAI trainingAnnounced12
EuroHPC LeonardoEpoch AI GPU ClustersITAI trainingOperational13
Oak Ridge NL SummitEpoch AI GPU ClustersUSAI trainingDecommissioned13
Meta Research SuperCluster (RSC-1) Phase 2Epoch AI GPU ClustersUSAI trainingOperational13
iGenius ColosseumEpoch AI GPU ClustersITAI trainingAnnounced14
Poolside 10k ClusterEpoch AI GPU ClustersAI trainingAnnounced14
Eni HPC6Epoch AI GPU ClustersITAI trainingOperational14