WAPR

Worldwide AI Proliferation Registry
operator register built 2026-11-01
build …latest run build f7813e9identity detector v4condition rules WCI-1
Operator record · derived from OpenStreetMap attribution

Digital Realty

182 mapped facilities in the WAPR frame

feed checked 2026-11-01 09:17 UTC operator register built 2026-11-01

WAPR is a public register of where AI computing physically sits. This page is one company and the mapped buildings that public records attribute to it. Who runs each data centre, according to volunteer mapmakers. Where nobody has recorded an operator, this page says so instead of guessing — that silence is itself one of the findings.

mapped facilities
182
by country
  1. United States of America80
  2. Germany29
  3. Netherlands13
  4. France11
  5. United Kingdom11
  6. Ireland8
  7. Brazil5
  8. Australia4
  9. Spain4
  10. Belgium3
  11. Singapore3
  12. Switzerland3
  13. Denmark2
  14. Austria1
  15. Bulgaria1
  16. Canada1
  17. Hong Kong1
  18. Sweden1
  19. Uzbekistan1
Counts of the buildings OpenStreetMap volunteers have mapped and attributed to Digital Realty — not of everything Digital Realty operates. How thoroughly volunteers map varies enormously from country to country, so these are not shares of the company's real footprint.
Wikidata
Q5275969
How this is known

Map extracts

from country- or continent-wide extracts
  1. EUROPE65
  2. US12
  3. SOUTH-AMERICA5
  4. ASIA2
  5. CANADA1
  6. AUSTRALIA-OCEANIA1
from country extracts
  1. DE18
  2. GB3
  3. SG3
  4. AT1
from state or province extracts
  1. VA28
  2. CA11
  3. IL6
  4. TX6
  5. NJ5
  6. OR3
  7. GA2
  8. NY2
  9. AZ2
  10. WA2
  11. NSW2
  12. CT1
  13. VIC1
These are the map extracts each building was pulled from, not a geographic hierarchy — a building counted under a state is not also counted under its country. The levels do not nest, and this is not a breakdown by country.

Basin water-stress exposure

checked 2026-11-01 09:17 UTC data 1979–2019 baseline the basin layer’s own date is not stated in the payload; the figures beside it are from the run above

81 of 182 assessed sites (45%) sit in High or Extremely High baseline water-stress basins.

Extremely High (>80%)
12
High (40–80%)
69
Medium–High (20–40%)
8
Low–Medium (10–20%)
34
Low (<10%)
59

The fill steps from the strongest ink for Extremely High to the faintest for Low; each bar is that class’s share of all this operator’s mapped facilities, with the count beside it. The percentages bound WRI Aqueduct’s baseline water-stress classes: how much of a basin’s available water is already claimed (“Basin water stress” in the terms below).

This counts how many of a company's mapped buildings sit in parts of the world where fresh water is already scarce. It does NOT measure how much water they use — almost no operator publishes that. Each building counts once, big or small, because reliable sizes are not public. Built entirely from public maps and public hydrology; nothing a company says about itself is used.

Count-weighted exposure (per-site capacity is not publishable); OSM attribution covers only attributed sites; exposure is not intake. Chain: OSM mapping x WRI Aqueduct 4.0 basins (CC BY 4.0) — no corporate disclosure enters these figures.

Mapped facilities (182 listed)

Show the other 158

View on the Explorer globe

Attribution comes from what OpenStreetMap contributors recorded, resolved through a deterministic alias table. Facilities whose operator no one recorded are absent here — absence of attribution is not absence of facilities. Water figures are basin exposure, never measured intake.