Made this after getting curious how the water-use numbers thrown around in AI news articles actually stack up site-by-site. A few notes: What it shows: a running estimate of global AI/data-center water use, a map of 30 real campuses (Google, Amazon, Microsoft, Meta, Oracle, Apple, Alibaba) sized by estimated annual water draw, and a comparison chart against things like golf courses, fast fashion, and fossil fuel plants on a log scale. Data sources: per-site figures are triangulated from sustainability reports, utility/permit filings, and known cooling tech + climate where companies don’t disclose (most don’t). The global baseline is anchored to Lawrence Berkeley National Lab’s 2024 Data Center Energy Usage Report, linked in the site’s Methodology section. Tools: React + D3.js for the map, all client-side, no backend. Caveat I want to be upfront about: these are order-of-magnitude estimates, not audited numbers, happy to take corrections if anyone has better sourcing on specific sites! https://www.thirstymachines.com/ submitted by /u/Pitiful_Factor_3227
Originally posted by u/Pitiful_Factor_3227 on r/ArtificialInteligence