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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.

701750 of 4,257Page 15 of 86
FacilityCountryTypeStatusPower (MW)
Jean Zay Supercomputer Phase 2Epoch AI GPU ClustersFRAI trainingOperational
Jean Zay Supercomputer Phase 3Epoch AI GPU ClustersFRAI trainingOperational
Lawrence Livermore NL El Capitan Phase 1Epoch AI GPU ClustersUSAI trainingOperational
Lawrence Livermore NL Lassen Phase 1Epoch AI GPU ClustersUSAI trainingOperational
Meta Research SuperCluster (RSC-1) Phase 1Epoch AI GPU ClustersUSAI trainingOperational
Meta Temple TexasEpoch AI GPU ClustersUSAI trainingAnnounced
Microsoft Air Gapped SupercomputerEpoch AI GPU ClustersUSAI trainingOperational
Microsoft Sweden GävleEpoch AI GPU ClustersSEAI trainingAnnounced
Microsoft Sweden SandvikenEpoch AI GPU ClustersSEAI trainingAnnounced
Microsoft Sweden StaffanstorpEpoch AI GPU ClustersSEAI trainingAnnounced
MSU-270Epoch AI GPU ClustersRUAI trainingOperational
Nebius 8k Finland Phase 1Epoch AI GPU ClustersFIAI trainingOperational
Nebius Kansas City Phase 1Epoch AI GPU ClustersUSAI trainingOperational
Neevcloud planned GPUsEpoch AI GPU ClustersINAI trainingAnnounced
NFDG Andromeda Phase 1Epoch AI GPU ClustersUSAI trainingOperational
NHRI Taiwan Supercomputer (NHRI-1)Epoch AI GPU ClustersTWAI trainingAnnounced
NSC Berzelius Phase 1Epoch AI GPU ClustersSEAI trainingOperational
NSCC ASPIRE 2A Phase 1Epoch AI GPU ClustersSGAI trainingOperational
NVIDIA CoreWeave Eos-DFW Phase 1Epoch AI GPU ClustersUSAI trainingOperational
NVIDIA Eos Phase 1Epoch AI GPU ClustersUSAI trainingOperational
NVIDIA Israel-1 Phase 1Epoch AI GPU ClustersILAI trainingOperational
NVIDIA SATURN V Phase 1Epoch AI GPU ClustersUSAI trainingOperational
NVIDIA SATURN V Phase 2Epoch AI GPU ClustersUSAI trainingOperational
NVIDIA Selene Phase 1Epoch AI GPU ClustersUSAI trainingOperational
OpenAI Stargate Abilene Oracle OCI Supercluster Phase 1Epoch AI GPU ClustersUSAI trainingAnnounced
OpenAI Stargate Abilene Oracle OCI Supercluster Phase 2Epoch AI GPU ClustersUSAI trainingAnnounced
OpenAI Stargate Abilene Oracle OCI Supercluster Phase 3Epoch AI GPU ClustersUSAI trainingAnnounced
Oracle $10B Saudi Arabia InvestmentEpoch AI GPU ClustersSAAI trainingAnnounced
PARAM Siddhi-AI Phase 1Epoch AI GPU ClustersINAI trainingOperational
ParTec ELBJUWELEpoch AI GPU ClustersDEAI trainingAnnounced
Petrobras Fênix Phase 1Epoch AI GPU ClustersBRAI trainingOperational
Princeton Della Phase 1Epoch AI GPU ClustersUSAI trainingOperational
Project RainierEpoch AI GPU ClustersUSAI trainingAnnounced
S. Korea 7th national supercomputerEpoch AI GPU ClustersKRAI trainingAnnounced
Sakura's H100s Phase 1Epoch AI GPU ClustersJPAI trainingOperational
Sesterce H100s Phase 1Epoch AI GPU ClustersAI trainingOperational
Sesterce Synapse Phase 1Epoch AI GPU ClustersFRAI trainingOperational
SingularityNETEpoch AI GPU ClustersAI trainingAnnounced
SoftBank Planned GB200Epoch AI GPU ClustersJPAI trainingAnnounced
Stargate UAE Phase 1Epoch AI GPU ClustersAEAI trainingAnnounced
Stargate UAE Phase 2Epoch AI GPU ClustersAEAI trainingAnnounced
SURF Snellius Phase 1Epoch AI GPU ClustersNLAI trainingOperational
Sustainable Metal Cloud Singapore Phase 1Epoch AI GPU ClustersSGAI trainingOperational
TACC HorizonEpoch AI GPU ClustersUSAI trainingAnnounced
Telangana Yotta H1 Hyderbad AI City Cluster Phase 1Epoch AI GPU ClustersINAI trainingAnnounced
TensorWave MI300X Cluster 1 Phase 1Epoch AI GPU ClustersUSAI trainingOperational
Tesla A100 Cluster Phase 1Epoch AI GPU ClustersUSAI trainingOperational
Tesla Buffalo DojoEpoch AI GPU ClustersUSAI trainingAnnounced
Tesla Cortex Phase 1Epoch AI GPU ClustersUSAI trainingOperational
Tesla Cortex Phase 2Epoch AI GPU ClustersUSAI trainingAnnounced