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
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la speranza è una forza
che non lascia mai il futuro agli avversari
ma lo rivendica per sé
dietrich bonhoeffer, resistenza e resa
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Maurizio Lana
