The cost of building an artificial intelligence product like ChatGPT can be hard to measure. But one thing Microsoft-backed OpenAI needed for its technology was plenty of water, pulled from the watershed of the Raccoon and Des Moines rivers in central Iowa to cool a powerful supercomputer as it helped teach its AI systems how to mimic human writing.
The cost of building an artificial intelligence product like ChatGPT can be hard to measure.
In its latest environmental report, Microsoft disclosed that its global water consumption spiked 34% from 2021 to 2022 , a sharp increase compared to previous years that outside researchers tie to its AI research. Google reported a 20% growth in water use in the same period, which Ren also largely attributes to its AI work. Google's spike wasn't uniform -- it was steady in Oregon where its water use has attracted public attention, while doubling outside Las Vegas. It was also thirsty in Iowa, drawing more potable water to its Council Bluffs data centers than anywhere else.
"We recognize training large models can be energy and water-intensive" and work to improve efficiencies, it said. Experts have said it can make sense to "pretrain" an AI model at a single location because of the large amounts of data that need to be transferred between computing cores.
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