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 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 Clusters437397 measured90.8%
- 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%
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.
| Facility | Country | Type | Status | Power (MW) |
|---|---|---|---|---|
| Imbue 10k ClusterEpoch AI GPU Clusters | US | AI training | Operational | 15 |
| Tesla 10k H100 ClusterEpoch AI GPU Clusters | US | AI training | Operational | 15 |
| XTX Markets ClusterEpoch AI GPU Clusters | — | 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 |
| Sakura's B200s Phase 2Epoch AI GPU Clusters | JP | AI training | Announced | 16 |
| Jupiter, JülichEpoch AI GPU Clusters | DE | AI training | Operational | 18 |
| DayOne SG1 SingaporeDayOne corporate disclosures (May 2026) | SG | Colocation | Under construction | 20 |
| xAI Fulton GeorgiaEpoch AI GPU Clusters | US | AI training | Announced | 20 |
| Equinix SG3Company disclosure (press / IR) | SG | Colocation | Operational | 20 |
| Scaleway DC5 (PAR2)Scaleway corporate disclosures | FR | Hyperscale DC | Operational | 20 |
| Port Jeff -Mt. Sinai Energy StorageGridStatus | US | Hyperscale DC | Decommissioned | 20 |
| Gemini 1.0 Ultra training cluster AEpoch AI GPU Clusters | US | AI training | Operational | 20 |
| Microsoft Azure EagleEpoch AI GPU Clusters | US | AI training | Operational | 21 |
| Microsoft GPT-4 clusterEpoch AI GPU Clusters | US | AI training | Operational | 21 |
| ORNL Frontier (Exascale HPC)Scrutica internal fixture record | US | HPC center | Operational | 23 |
| Yotta Shakti Cloud D1Epoch AI GPU Clusters | IN | AI training | Announced | 23 |
| Yotta Shakti Cloud NM1 Phase 2Epoch AI GPU Clusters | IN | AI training | Announced | 23 |
| NexGen Cloud Hyperstack AQ Compute SupercomputerEpoch AI GPU Clusters | NO | AI training | Operational | 23 |
| Oracle OCI Supercluster H100sEpoch AI GPU Clusters | US | AI training | Operational | 23 |
| Google Oklahoma TPU v4 PodsEpoch AI GPU Clusters | US | AI training | Operational | 24 |
| Google TPUv5eEpoch AI GPU Clusters | — | AI training | Operational | 24 |
| Oracle OCI MI300xEpoch AI GPU Clusters | US | AI training | Operational | 25 |
| Sesterce PegasusEpoch AI GPU Clusters | — | AI training | Announced | 25 |
| Foxconn Big Innovation Cloud AI factoryEpoch AI GPU Clusters | TW | AI training | Announced | 26 |
| Oracle OCI Supercluster A100sEpoch AI GPU Clusters | US | AI training | Operational | 27 |
| CoreWeave Dalton 1 & 2Epoch AI Frontier Data Centers | US | AI training | Operational | 28 |
| Andreessen Horowitz OxygenEpoch AI GPU Clusters | US | AI training | Operational | 29 |
| AWS EC2 P5 UltraClustersEpoch AI GPU Clusters | US | AI training | Operational | 29 |
| G42 Microsoft 30Mw UAE Cluster AEpoch AI GPU Clusters | AE | AI training | Announced | 30 |
| G42 Microsoft 30Mw UAE Cluster BEpoch AI GPU Clusters | AE | AI training | Announced | 30 |
| NVIDIA Israel Blackwell SupercomputerEpoch AI GPU Clusters | IL | AI training | Announced | 30 |
| Yotta D1Yotta corporate disclosures | IN | Hyperscale DC | Operational | 30 |
| Inflection AI ClusterEpoch AI GPU Clusters | US | AI training | Announced | 31 |
| Vantage TX1Epoch AI Frontier Data Centers | US | AI training | Operational | 32 |
| Start Campus Sines Data CampusEpoch AI Frontier Data Centers | PT | AI training | Operational | 33 |
| Lawrence Livermore NL El Capitan Phase 2Epoch AI GPU Clusters | US | AI training | Operational | 35 |
| Meta GenAI 2024aEpoch AI GPU Clusters | US | AI training | Operational | 35 |
| Meta GenAI 2024bEpoch AI GPU Clusters | US | AI training | Operational | 35 |
| Google A3 VMsEpoch AI GPU Clusters | US | AI training | Announced | 36 |
| YTL AI JohorEpoch AI GPU Clusters | MY | AI training | Announced | 37 |
| Nebius Kansas City Phase 2Epoch AI GPU Clusters | US | AI training | Announced | 40 |
| Oak Ridge NL FrontierEpoch AI GPU Clusters | US | AI training | Operational | 40 |
| Eclairion Bruyères-le-Châtel (Mistral Compute)Mistral Compute press announcements | FR | AI training | Operational | 44 |
| NVIDIA CoreWeave Eos-DFW Rumored Phase 2Epoch AI GPU Clusters | US | AI training | Announced | 45 |
| Lambda Labs H100/H200Epoch AI GPU Clusters | US | AI training | Operational | 47 |
| Microsoft SAT14Epoch AI Frontier Data Centers | US | AI training | Operational | 47 |
| Project Ceiba Phase 2Epoch AI GPU Clusters | US | AI training | Announced | 50 |