Entities
Registers of the facilities, companies and countries on record, with the ownership chains between them.
709 of 4,257 facility records have an operational measure
4,257 facility records are individually browsable here, of which 709 have an operational measure: power, GPU or FLOP capacity, or a substantive description. The other 3,548 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 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.
- Epoch AI Frontier Data Centers7064 measured91.4%
- Epoch AI GPU Clusters437396 measured90.6%
- PeeringDB facility registry1,56963 measured4.0%
- IM3 / PNNL data-center corpus3912 measured0.5%
- OpenStreetMap (tagged data centers)1,1731 measured0.1%
- OpenStreetMap2310 measured0.0%
- Microsoft Azure region documentation560 measured0.0%
- Oracle Cloud region documentation450 measured0.0%
- 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 with at least one operational measure.
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 4 September 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.
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 the 293 matching records that have an operational measure. A further 1,010 matches are positional, with no capacity figure. Show all 1,303.
| Facility | Country | Type | Status | Power (MW) |
|---|---|---|---|---|
| Lawrence Livermore NL Lassen Phase 2Epoch AI GPU Clusters | US | AI training | Operational | 2 |
| Microsoft Ares/MaiaEpoch AI GPU Clusters | US | AI training | Operational | 2 |
| Tesla Dojo 1 Phase 1Epoch AI GPU Clusters | US | AI training | Announced | 2 |
| IBM VelaEpoch AI GPU Clusters | US | AI training | Operational | 3 |
| MIT LLSC TX-GAIAEpoch AI GPU Clusters | US | AI training | Operational | 3 |
| Google TensorFlow Research CloudEpoch AI GPU Clusters | US | AI training | Operational | 3 |
| Los Alamos NL VenadoEpoch AI GPU Clusters | US | AI training | Operational | 3 |
| Horizon Compute Baobab Phase 2Epoch AI GPU Clusters | US | AI training | Operational | 3 |
| US Government Supercomputer 1Epoch AI GPU Clusters | US | AI training | Operational | 3 |
| US Government Supercomputer 2Epoch AI GPU Clusters | US | AI training | Operational | 3 |
| Google TPU v4 PodEpoch AI GPU Clusters | US | AI training | Operational | 3 |
| Tesla Training ClusterEpoch AI GPU Clusters | US | AI training | Operational | 4 |
| AWS EC2 P4dEpoch AI GPU Clusters | US | AI training | Operational | 4 |
| NVIDIA SATURN V Phase 3Epoch AI GPU Clusters | US | AI training | Operational | 4 |
| Google MLPerf 0.7 SubmissionEpoch AI GPU Clusters | US | AI training | Operational | 4 |
| Paper on PaLMEpoch AI GPU Clusters | US | AI training | Operational | 4 |
| Vultr Chicago ClusterEpoch AI GPU Clusters | US | AI training | Operational | 5 |
| Microsoft Azure Meta AI RentalEpoch AI GPU Clusters | US | AI training | Operational | 5 |
| NVIDIA Selene Phase 2Epoch AI GPU Clusters | US | AI training | Operational | 5 |
| Intel Stability Gaudi 2Epoch AI GPU Clusters | US | AI training | Operational | 5 |
| CoreWeave LiquidLabEpoch AI GPU Clusters | US | AI training | Operational | 6 |
| ExxonMobil Discovery 6Epoch AI GPU Clusters | US | AI training | Operational | 6 |
| Lawrence Livermore NL TuolumneEpoch AI GPU Clusters | US | AI training | Operational | 6 |
| Voltage Park Location 5Epoch AI GPU Clusters | US | AI training | Announced | 6 |
| Voltage Park Location 6Epoch AI GPU Clusters | US | AI training | Announced | 6 |
| Voltage Park Texas Phase 2Epoch AI GPU Clusters | US | AI training | Announced | 6 |
| Voltage Park UtahEpoch AI GPU Clusters | US | AI training | Announced | 6 |
| Voltage Park VirginiaEpoch AI GPU Clusters | US | AI training | Announced | 6 |
| Voltage Park WashingtonEpoch AI GPU Clusters | US | AI training | Announced | 6 |
| NFDG Andromeda Phase 2Epoch AI GPU Clusters | US | AI training | Operational | 6 |
| Microsoft Azure ND H100 v5 VMEpoch AI GPU Clusters | US | AI training | Operational | 6 |
| Tesla A100 Cluster Phase 2Epoch AI GPU Clusters | US | AI training | Operational | 6 |
| Together AI H100 ClusterEpoch AI GPU Clusters | US | AI training | Operational | 6 |
| Azure OpenAI GPT-3 ClusterEpoch AI GPU Clusters | US | AI training | Operational | 7 |
| Meta Research SuperCluster 2 (RSC-2)Epoch AI GPU Clusters | US | AI training | Operational | 7 |
| NVIDIA Eos Phase 2Epoch AI GPU Clusters | US | AI training | Operational | 7 |
| Lawrence Berkeley NL NERSC PerlmutterEpoch AI GPU Clusters | US | AI training | Operational | 7 |
| Magic G4 Google Cloud RentalEpoch AI GPU Clusters | US | AI training | Operational | 11 |
| Amazon Titan training clusterEpoch AI GPU Clusters | US | AI training | Operational | 11 |
| Lawrence Livermore NL SierraEpoch AI GPU Clusters | US | AI training | Operational | 12 |
| Oak Ridge NL SummitEpoch AI GPU Clusters | US | AI training | Decommissioned | 13 |
| Meta Research SuperCluster (RSC-1) Phase 2Epoch AI GPU Clusters | US | AI training | Operational | 13 |
| Imbue 10k ClusterEpoch AI GPU Clusters | US | AI training | Operational | 15 |
| Tesla 10k H100 ClusterEpoch AI GPU Clusters | US | AI training | Operational | 15 |
| TensorWave MI300X Cluster 1 Phase 2Epoch AI GPU Clusters | US | AI training | Announced | 15 |
| TensorWave MI300X Cluster 2Epoch AI GPU Clusters | US | AI training | Announced | 15 |
| Meta 2017 V100 ClusterEpoch AI GPU Clusters | US | AI training | Operational | 16 |
| Oak Ridge NL TitanEpoch AI GPU Clusters | US | AI training | Decommissioned | 16 |
| xAI Fulton GeorgiaEpoch AI GPU Clusters | US | AI training | Announced | 20 |
| Port Jeff -Mt. Sinai Energy StorageGridStatus | US | Hyperscale DC | Decommissioned | 20 |