WAPR

NTT

87 mapped facilities in the WAPR frame

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

87

by country

1. Japan33
2. United States of America26
3. Germany10
4. United Kingdom6
5. India5
6. South Africa2
7. Netherlands1
8. Singapore1
9. Spain1
10. Switzerland1
11. Thailand1

Counts of the buildings OpenStreetMap volunteers have mapped and attributed to NTT — not of everything NTT operates. How thoroughly volunteers map varies enormously from country to country, so these are not shares of the company's real footprint.

Wikidata

Q1054787

Basin water-stress exposure

33 of 87 assessed sites (38%) sit in High or Extremely High baseline water-stress basins.

Extremely High (>80%)

9

High (40–80%)

24

Medium–High (20–40%)

16

Low–Medium (10–20%)

18

Low (<10%)

20

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 (87 listed)

namemap extractcoordinatesOSM object

• RagingWire CA2extract CA 38.6504, -121.4920 OSM way/32560290
• RagingWire CA1extract CA 38.6504, -121.4895 OSM way/32560292
• NTT RagingWire DC - Hillsboroextract OR 45.5498, -122.9374 OSM way/52059176
• RagingWire CA3extract CA 38.6443, -121.4989 OSM way/190868312
• NTT VA1extract VA 39.0227, -77.4548 OSM way/300163083
• NTT Data Quincyextract US 47.2435, -119.8659 OSM way/337127824
• (unnamed)extract CA 37.4039, -121.8893 OSM way/460159925
• NTT VA2extract VA 39.0250, -77.4578 OSM way/610977485
• NTT VA3extract VA 39.0176, -77.4704 OSM way/649365751
• NTTextract US 32.9806, -96.6564 OSM way/671637259
• NTT VA5extract VA 39.0183, -77.4727 OSM way/793888429
• NTT VA4extract VA 39.0199, -77.4730 OSM way/793888430
• NTT Silicon Valley SV1 Data Centerextract CA 37.3690, -121.9554 OSM way/888253616
• NTT Chicago CH1extract IL 41.9878, -88.0072 OSM way/1154636644
• NTT VA6extract VA 39.0172, -77.4733 OSM way/1188691867
• NTT VA9extract VA 39.0201, -77.4754 OSM way/1188691868
• NTT Chicago CH2extract IL 41.9888, -88.0073 OSM way/1271571726
• NTTextract US 32.9813, -96.6596 OSM way/1316023545
• NTTextract US 32.9811, -96.6580 OSM way/1316023546
• NTT Chicago CH3extract IL 41.9868, -88.0080 OSM way/1446350367
• NTT Chicago CH4extract IL 41.9890, -88.0046 OSM way/1446350370
• NTT RagingWire DC - Hillsboroextract OR 45.5481, -122.9380 OSM way/1454598380
• NTTextract US 32.9797, -96.6582 OSM way/1530199676
• NTT VA7extract VA 39.0158, -77.4720 OSM way/1556781864

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.