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File: 1780555704466.jpg (149.07 KB, 1920x1080, img_1780555696570_vf0j09g8.jpg)ImgOps Exif Google Yandex

f752c No.1706

just saw some wild stats on how training gpt-3 used 636,000 gallons of water. that is an entire olympic pool and it makes me wonder if we are ignoring overlooking the true environmental footprint of inference_scaling as we scale up

article: https://hackernoon.com/how-much-water-does-ai-really-drink-a-data-dive-into-the-deep-end-of-ai-water-consumption?source=rss

f752c No.1707

File: 1780556345011.jpg (120.3 KB, 1880x1255, img_1780556330097_uh8jvt8t.jpg)ImgOps Exif Google Yandex

the real nightmare is the energy density required for the liquid cooling loops as we move toward blackwell clusters, but does that figure include the water used for evaporative cooling or just the closed-loop system? ❓



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