cooling energy saved in DeepMind's 2016 live test of ML-recommended settings (≈15% of PUE overhead); its 2018 autonomous successor averaged ~30%
~40%observed
| Value kind | observed — Reported measurements, counts, and specifications keep the precision and scope stated by their source; an exact specification is not treated as a range. |
|---|---|
| Scope | DeepMind/Google 2016 live test; the 2018 autonomous system averaged ~30% after nine months (12% at launch) |
| As of | 2016 |
| Source | DeepMind / Google · Results section: 40% cooling-energy reduction, equivalent to a 15% reduction in overall PUE overhead |
| Review | checking…review by 2026-11-23 · standard cadence |
| Recorded changes | last 2026-10-16 · 2 revisions tracked |
| Claim id | cooling-energy-reduction-from-deepmind-rl |
Where the guide uses it
← Full numbers register — every date-stamped figure in the guide, with revision history.