On dom, 2025-08-24 at 18:54 +0200, maurizio lana wrote: > questo comunicato > Vahdat, Amin, e Jeff Dean. «Measuring the environmental impact of AI > inference». Google Cloud blog. Consultato 24 agosto > 2025.https://cloud.google.com/blog/products/infrastructure/measuring-the-environmental-impact-of-ai-inference > . > > annuncia questo report: > Elsworth, Cooper, Keguo Huang, David Patterson, Ian Schneider, > Robert Sedivy, Savannah Goodman, Ben Townsend, et al. «Measuring the > environmental impact of delivering AI at Google Scale». arXiv, 21 > agosto 2025. https://doi.org/10.48550/arXiv.2508.15734. > > il cui nucleo è (sarebbe) che > > > the median Gemini Apps text prompt uses 0.24 watt-hours (Wh) of > > energy, emits 0.03 grams of carbon dioxide equivalent (gCO2e), and > > consumes 0.26 milliliters (or about five drops) of water1 — > > figures that are substantially lower than many public estimates. > > The per-prompt energy impact is equivalent to watching TV for less > > than nine seconds. > > > > At the same time, our AI systems are becoming more efficient > > through research innovations and software and hardware efficiency > > improvements. For example, over a recent 12 month period, the > > energy and total carbon footprint of the median Gemini Apps text > > prompt dropped by 33x and 44x, respectively, all while delivering > > higher quality responses. > metodologia e dati descritti nel report. > > è credibile? > Maurizio
Ma soprattutto, nelle stesse condizioni quanto consuma un search su un motore di ricerca senza IA?
