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
- 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 5 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.
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 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 709 records that have an operational measure. A further 3,548 positional records establish that a site exists and have no capacity figure. Show all 4,257.
| Facility | Country | Type | Status | Power (MW) |
|---|---|---|---|---|
| Cayuga DataGridStatus | US | Hyperscale DC | Announced | 162 |
| Reliance–Meta AI Data Center (Jamnagar)Reliance–Meta press announcements (Jun 2026) | IN | Hyperscale DC | Announced | 168 |
| Alibaba ZhangbeiEpoch AI Frontier Data Centers | CN | AI training | Operational | 169 |
| North Country Data CenterGridStatus | US | Hyperscale DC | Announced | 176 |
| Meta JeffersonvilleEpoch AI Frontier Data Centers | US | AI training | Operational | 178 |
| Meta RosemountEpoch AI Frontier Data Centers | US | AI training | Operational | 178 |
| QTS Richmond 2Epoch AI Frontier Data Centers | US | AI training | Operational | 180 |
| Microsoft Project OsmiumEpoch AI Frontier Data Centers | US | AI training | Operational | 190 |
| St Lawrence Data and Agricultural CenterGridStatus | US | Hyperscale DC | Announced | 200 |
| Proposed Datacenters at 450 Broadway, Buchanan, NY, 10511GridStatus | US | Hyperscale DC | Announced | 200 |
| Greenidge 200 MW Data Center ProjectGridStatus | US | Hyperscale DC | Announced | 200 |
| Globe Digital Holdings - 1GridStatus | US | Hyperscale DC | Announced | 200 |
| Microsoft GoodyearEpoch AI Frontier Data Centers | US | AI training | Operational | 202 |
| VNET Bayin UlanqabEpoch AI Frontier Data Centers | CN | AI training | Operational | 221 |
| Amazon RidgelandEpoch AI Frontier Data Centers | US | AI training | Operational | 228 |
| Arsenal Data Site 250GridStatus | US | Hyperscale DC | Announced | 233 |
| Arsenal Data Site 500GridStatus | US | Hyperscale DC | Announced | 233 |
| Google Council Bluffs (East)Epoch AI Frontier Data Centers | US | AI training | Operational | 237 |
| Google OmahaEpoch AI Frontier Data Centers | US | AI training | Operational | 237 |
| Google PapillionEpoch AI Frontier Data Centers | US | AI training | Operational | 237 |
| QTS Richmond 1Epoch AI Frontier Data Centers | US | AI training | Operational | 238 |
| DayOne Nusajaya Tech ParkGDS Holdings Q4 2024 results | MY | Colocation | Operational | 240 |
| Huawei HoringerEpoch AI Frontier Data Centers | CN | AI training | Operational | 242 |
| CoreWeave Kenilworth NJ (NEST Campus)Press reporting | US | AI training | Under construction | 250 |
| Sesterce Southern France 250MWEpoch AI GPU Clusters | FR | AI training | Announced | 250 |
| Lake Mariner Data IIGridStatus | US | Hyperscale DC | Announced | 250 |
| Wulf Compute Data Center IIGridStatus | US | Hyperscale DC | Announced | 250 |
| Pontoon Bridge Road Data CenterGridStatus | US | Hyperscale DC | Announced | 250 |
| Broome County Tech ParkGridStatus | US | Hyperscale DC | Announced | 250 |
| CoreWeave Denton TXEpoch AI Frontier Data Centers | US | AI training | Operational | 262 |
| Oracle OCI Supercluster B200sEpoch AI GPU Clusters | US | AI training | Announced | 262 |
| Amazon Madison Mega SiteEpoch AI Frontier Data Centers | US | AI training | Operational | 284 |
| CoreWeave Lancaster PACompany disclosure (press / IR) | US | AI training | Announced | 300 |
| Nebius New JerseyEpoch AI GPU Clusters | US | AI training | Announced | 300 |
| OpenAI/Microsoft Mt Pleasant, Wisconsin Phase 1Epoch AI GPU Clusters | US | AI training | Announced | 300 |
| Sesterce Grand Est France AEpoch AI GPU Clusters | FR | AI training | Announced | 300 |
| Sesterce Grand Est France BEpoch AI GPU Clusters | FR | AI training | Announced | 300 |
| Data & Technology CampusGridStatus | US | Hyperscale DC | Announced | 300 |
| New York State Artificial Intelligence Data CenterGridStatus | US | Hyperscale DC | Announced | 300 |
| Google ColumbusEpoch AI Frontier Data Centers | US | AI training | Operational | 303 |
| Google New AlbanyEpoch AI Frontier Data Centers | US | AI training | Operational | 339 |
| Colossus 1Epoch AI Frontier Data Centers | US | AI training | Operational | 340 |
| Microsoft Fairwater WisconsinEpoch AI Frontier Data Centers | US | AI training | Operational | 369 |
| Applied Digital Ellendale Possible Phase 3Epoch AI GPU Clusters | US | AI training | Announced | 400 |
| Google New Albany OhioEpoch AI GPU Clusters | US | AI training | Announced | 450 |
| Arsenal Data Site 1000GridStatus | US | Hyperscale DC | Announced | 467 |
| HUMAIN Saudi Arabia Phase 2Epoch AI GPU Clusters | SA | AI training | Announced | 500 |
| Khazna–Eni Ferrera Erbognone AI CampusCompany disclosure (press / IR) | IT | Hyperscale DC | Announced | 500 |
| North East Data LLC Data CenterGridStatus | US | Hyperscale DC | Announced | 500 |
| TeraWulf Lake Mariner CampusEpoch AI Frontier Data Centers | US | AI training | Operational | 510 |