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Originally Posted by JesseQuinn
do hope you explore it
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Umm, ok, this is INSANE!
- Training Meta's LLaMA-3 open source model used 22 MILLION LITERS of water.
- A 100-megawatt data center can consume about 2 million liters of water per day, equivalent to the water consumption of 6,500 households.
- Approx 11,000 datacenters globally. Large data centers, like Google's hyperscale data centers consumes 550,000 GALLONS PER DAY, while small data centers average about 18,000 gallons per day.
People are literally using AI for fun and games. in the meantime, several states are facing scarce water issues, so I'm not following the logic here. I know the Colorado River is experiencing significant water shortages, (The Colorado River provides water to seven states: Arizona, California, Colorado, Nevada, New Mexico, Utah, and Wyoming) it's basically drying up in certain areas, water reserves keep getting lower and AI is consuming MILLIONS OF GALLONS of water each day. Where are they getting this water from? Might be time to re-think AI, no doubt.