How Much Water Does AI Really Drink? A Data Dive into the Deep End of AI Water Consumption
SMRTR summary
Training a single large AI model like GPT-3 consumed roughly 636,000 gallons of water, and daily inference operations push usage far higher. Data centers use massive amounts of water for cooling, a hidden cost rarely tracked alongside carbon emissions, but liquid-cooled hardware and dry-cooling systems could dramatically reduce AI's water footprint by 2030.
SMRTR provides this summary for quick context. The original article belongs to Hacker Noon.
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