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Measuring AI's Carbon Footprint

The new tool is more sophisticated than older ones, but still tracks only some of the energy used in training models.


Researchers at the Allen Institute for AI have developed a method of calculating the carbon emissions of artificial intelligence (AI) systems that boasts greater accuracy.

The new approach records the energy usage of server chips as a series of measurements and aligns that data with a series of data points detailing local emissions per kilowatt-hour (kWh) of the energy consumed.

The researchers found graphics processing units training the biggest model to only 13% completion emitted nearly as much carbon as powering a U.S. home for a year does. In contrast, training the smallest models generated as much carbon as charging a phone.

From IEEE Spectrum
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Abstracts Copyright © 2022 SmithBucklin, Washington, DC, USA


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