Data centers where AI is trained already account for about 2% of all U.S. electricity use, consuming 10 to 50 times more energy per floor space of a typical commercial office building. Leverage AI while controlling its appetite and footprint.
Making AI itself more environmentally friendly is a key component of anyNo. 1: Make AI as efficient as the human brain, which uses network structures to organize and learn similarly to the efficient human brain.
Keep data for model training local, but share improvements at a central level. This type of “federated machine learning” reduces electricity consumption and bolsters data privacy.Use more energy-efficient hardware and networking equipment.No. 3: Run AI in the right place and at the right time Balance follow-the-sun data center workloads, which are better for clean energy production, with unfollow-the-sun measures, which are better for water efficiency.
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