Talk about insatiable.
When looking into how much water is needed to cool the data processing centers employed by companies like OpenAI and Google, the researchers found that just in training GPT-3 alone, Microsoft, which is partnered with OpenAI, consumed a whopping 185,000 gallons of water — which is, per their calculations, equivalent to the amount of water needed to cool a nuclear reactor.
As the paper notes, the water Microsoft used to cool its US-based data centers while training GPT-3 was enough to produce "370 BMW cars or 320 Tesla electric vehicles." If they'd trained the model in the company's data centers in Asia, which are even larger, "these numbers would have been tripled.
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