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Measuring AI's Carbon Footprint

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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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