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Study: by 2030, the current rate of AI growth would annually produce 24 to 44 million metric tons of CO2, but using smart siting, faster grid decarbonization and operational efficiency can cut these impacts by approximately 73% of CO2 and 86% of water
Researchers used advanced data analytics to create a state-by-state look at that environmental impact of the AI boom and how to make the computing infrastructure that supports it more sustainable.
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