GPT-3 training consumed 700k liters of water, 'enough for producing 370 BMWs'

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GPT-3 training consumed 700k liters of water, 'enough for producing 370 BMWs'
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The data centers that help train ChatGPT-like AI are very 'thirsty,' finds a new study.

and Google's Bard. The estimates of AI water consumption were presented by researchers from the Universities of Colorado Riverside and Texas Arlington in a pre-print article titled "Making AI Less 'Thirsty.'"doesn't just disappear into the ether but is usually removed from water courses like rivers. The researchers distinguish between water "withdrawal" and "consumption" when estimating AI's water usage.

To prevent corrosion or bacterial development that can occur with seawater, data centers get their water from pristine freshwater sources. To control the humidity in the rooms, fresh water is also necessary. Microsoft, which has partnered with OpenAI for multiple years and billions of dollars and built supercomputers for AI training, claims that its most recent supercomputer, which would require an extensive cooling apparatus, contains 10,000 graphics cards and over 285,000 processor cores, providing a glimpse into the enormous scale of the operation behind artificial intelligence.

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