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) |
|---|---|---|---|---|
| Jean Zay Supercomputer Phase 2Epoch AI GPU Clusters | FR | AI training | Operational | — |
| Jean Zay Supercomputer Phase 3Epoch AI GPU Clusters | FR | AI training | Operational | — |
| Lawrence Livermore NL El Capitan Phase 1Epoch AI GPU Clusters | US | AI training | Operational | — |
| Lawrence Livermore NL Lassen Phase 1Epoch AI GPU Clusters | US | AI training | Operational | — |
| Meta Research SuperCluster (RSC-1) Phase 1Epoch AI GPU Clusters | US | AI training | Operational | — |
| Meta Temple TexasEpoch AI GPU Clusters | US | AI training | Announced | — |
| Microsoft Air Gapped SupercomputerEpoch AI GPU Clusters | US | AI training | Operational | — |
| Microsoft Sweden GävleEpoch AI GPU Clusters | SE | AI training | Announced | — |
| Microsoft Sweden SandvikenEpoch AI GPU Clusters | SE | AI training | Announced | — |
| Microsoft Sweden StaffanstorpEpoch AI GPU Clusters | SE | AI training | Announced | — |
| MSU-270Epoch AI GPU Clusters | RU | AI training | Operational | — |
| Nebius 8k Finland Phase 1Epoch AI GPU Clusters | FI | AI training | Operational | — |
| Nebius Kansas City Phase 1Epoch AI GPU Clusters | US | AI training | Operational | — |
| Neevcloud planned GPUsEpoch AI GPU Clusters | IN | AI training | Announced | — |
| NFDG Andromeda Phase 1Epoch AI GPU Clusters | US | AI training | Operational | — |
| NHRI Taiwan Supercomputer (NHRI-1)Epoch AI GPU Clusters | TW | AI training | Announced | — |
| NSC Berzelius Phase 1Epoch AI GPU Clusters | SE | AI training | Operational | — |
| NSCC ASPIRE 2A Phase 1Epoch AI GPU Clusters | SG | AI training | Operational | — |
| NVIDIA CoreWeave Eos-DFW Phase 1Epoch AI GPU Clusters | US | AI training | Operational | — |
| NVIDIA Eos Phase 1Epoch AI GPU Clusters | US | AI training | Operational | — |
| NVIDIA Israel-1 Phase 1Epoch AI GPU Clusters | IL | AI training | Operational | — |
| NVIDIA SATURN V Phase 1Epoch AI GPU Clusters | US | AI training | Operational | — |
| NVIDIA SATURN V Phase 2Epoch AI GPU Clusters | US | AI training | Operational | — |
| NVIDIA Selene Phase 1Epoch AI GPU Clusters | US | AI training | Operational | — |
| OpenAI Stargate Abilene Oracle OCI Supercluster Phase 1Epoch AI GPU Clusters | US | AI training | Announced | — |
| OpenAI Stargate Abilene Oracle OCI Supercluster Phase 2Epoch AI GPU Clusters | US | AI training | Announced | — |
| OpenAI Stargate Abilene Oracle OCI Supercluster Phase 3Epoch AI GPU Clusters | US | AI training | Announced | — |
| Oracle $10B Saudi Arabia InvestmentEpoch AI GPU Clusters | SA | AI training | Announced | — |
| PARAM Siddhi-AI Phase 1Epoch AI GPU Clusters | IN | AI training | Operational | — |
| ParTec ELBJUWELEpoch AI GPU Clusters | DE | AI training | Announced | — |
| Petrobras Fênix Phase 1Epoch AI GPU Clusters | BR | AI training | Operational | — |
| Princeton Della Phase 1Epoch AI GPU Clusters | US | AI training | Operational | — |
| Project RainierEpoch AI GPU Clusters | US | AI training | Announced | — |
| S. Korea 7th national supercomputerEpoch AI GPU Clusters | KR | AI training | Announced | — |
| Sakura's H100s Phase 1Epoch AI GPU Clusters | JP | AI training | Operational | — |
| Sesterce H100s Phase 1Epoch AI GPU Clusters | — | AI training | Operational | — |
| Sesterce Synapse Phase 1Epoch AI GPU Clusters | FR | AI training | Operational | — |
| SingularityNETEpoch AI GPU Clusters | — | AI training | Announced | — |
| SoftBank Planned GB200Epoch AI GPU Clusters | JP | AI training | Announced | — |
| Stargate UAE Phase 1Epoch AI GPU Clusters | AE | AI training | Announced | — |
| Stargate UAE Phase 2Epoch AI GPU Clusters | AE | AI training | Announced | — |
| SURF Snellius Phase 1Epoch AI GPU Clusters | NL | AI training | Operational | — |
| Sustainable Metal Cloud Singapore Phase 1Epoch AI GPU Clusters | SG | AI training | Operational | — |
| TACC HorizonEpoch AI GPU Clusters | US | AI training | Announced | — |
| Telangana Yotta H1 Hyderbad AI City Cluster Phase 1Epoch AI GPU Clusters | IN | AI training | Announced | — |
| TensorWave MI300X Cluster 1 Phase 1Epoch AI GPU Clusters | US | AI training | Operational | — |
| Tesla A100 Cluster Phase 1Epoch AI GPU Clusters | US | AI training | Operational | — |
| Tesla Buffalo DojoEpoch AI GPU Clusters | US | AI training | Announced | — |
| Tesla Cortex Phase 1Epoch AI GPU Clusters | US | AI training | Operational | — |
| Tesla Cortex Phase 2Epoch AI GPU Clusters | US | AI training | Announced | — |