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) |
|---|---|---|---|---|
| Globe Digital Holdings - 1GridStatus | US | Hyperscale DC | Announced | 200 |
| Microsoft Project OsmiumEpoch AI Frontier Data Centers | US | AI training | Operational | 190 |
| QTS Richmond 2Epoch AI Frontier Data Centers | US | AI training | Operational | 180 |
| Meta JeffersonvilleEpoch AI Frontier Data Centers | US | AI training | Operational | 178 |
| Meta RosemountEpoch AI Frontier Data Centers | US | AI training | Operational | 178 |
| North Country Data CenterGridStatus | US | Hyperscale DC | Announced | 176 |
| Cayuga DataGridStatus | US | Hyperscale DC | Announced | 162 |
| Google Storey CountyEpoch AI Frontier Data Centers | US | AI training | Operational | 161 |
| Google The DallesEpoch AI Frontier Data Centers | US | AI training | Operational | 154 |
| Meta MontgomeryEpoch AI Frontier Data Centers | US | AI training | Operational | 153 |
| Meta KunaEpoch AI Frontier Data Centers | US | AI training | Operational | 152 |
| Meta TempleEpoch AI Frontier Data Centers | US | AI training | Operational | 152 |
| QTS Richmond 3Epoch AI Frontier Data Centers | US | AI training | Operational | 144 |
| Meta 100kEpoch AI GPU Clusters | US | AI training | Operational | 143 |
| OpenAI/Microsoft Goodyear ArizonaEpoch AI GPU Clusters | US | AI training | Operational | 143 |
| Google LincolnEpoch AI Frontier Data Centers | US | AI training | Operational | 141 |
| Tesla Cortex Phase 3Epoch AI GPU Clusters | US | AI training | Announced | 140 |
| Niagara Digital CampusGridStatus | US | Hyperscale DC | Announced | 140 |
| Google LancasterEpoch AI Frontier Data Centers | US | AI training | Operational | 137 |
| Giga Texas Data CenterGridStatus | US | Hyperscale DC | Announced | 133 |
| Coreweave HeliosEpoch AI Frontier Data Centers | US | AI training | Operational | 132 |
| Google MidlothianEpoch AI Frontier Data Centers | US | AI training | Operational | 103 |
| CoreWeave MuskogeeEpoch AI GPU Clusters | US | AI training | Announced | 100 |
| Massena LoadGridStatus | US | Hyperscale DC | Decommissioned | 100 |
| Oracle OCI Supercluster H200sEpoch AI GPU Clusters | US | AI training | Operational | 94 |
| Google MesaEpoch AI Frontier Data Centers | US | AI training | Operational | 90 |
| Cayuga ComputeGridStatus | US | Hyperscale DC | Announced | 88 |
| Meta GallatinEpoch AI Frontier Data Centers | US | AI training | Operational | 87 |
| Meta Los LunasEpoch AI Frontier Data Centers | US | AI training | Operational | 87 |
| together.ai 36k GB200sEpoch AI GPU Clusters | US | AI training | Announced | 87 |
| STACK Infrastructure NVA02Epoch AI Frontier Data Centers | US | AI training | Operational | 85 |
| CoreWeave Chester VAEpoch AI Frontier Data Centers | US | AI training | Operational | 82 |
| Google ArcolaEpoch AI Frontier Data Centers | US | AI training | Operational | 77 |
| Google Red OakEpoch AI Frontier Data Centers | US | AI training | Operational | 77 |
| Microsoft SAT40Epoch AI Frontier Data Centers | US | AI training | Operational | 75 |
| CoreWeave Ellendale NDEpoch AI Frontier Data Centers | US | AI training | Operational | 68 |
| CoreWeave Marble NCEpoch AI Frontier Data Centers | US | AI training | Operational | 65 |
| Stream PhoenixEpoch AI Frontier Data Centers | US | AI training | Operational | 64 |
| Argonne NL AuroraEpoch AI GPU Clusters | US | AI training | Operational | 60 |
| CoreWeave H200sEpoch AI GPU Clusters | US | AI training | Operational | 60 |
| Google Pryor (North)Epoch AI Frontier Data Centers | US | AI training | Operational | 53 |
| Hudson Valley Data CenterGridStatus | US | Hyperscale DC | Decommissioned | 50 |
| Hudson Valley Data CenterGridStatus | US | Hyperscale DC | Announced | 50 |
| Tesla Earnings Call ClaimEpoch AI GPU Clusters | US | AI training | Operational | 50 |
| Project Ceiba Phase 2Epoch AI GPU Clusters | US | AI training | Announced | 50 |
| Microsoft SAT14Epoch AI Frontier Data Centers | US | AI training | Operational | 47 |
| Lambda Labs H100/H200Epoch AI GPU Clusters | US | AI training | Operational | 47 |
| NVIDIA CoreWeave Eos-DFW Rumored Phase 2Epoch AI GPU Clusters | US | AI training | Announced | 45 |
| 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 |