The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink | IEEE Journals & Magazine | IEEE Xplore

The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink


Abstract:

Machine learning (ML) workloads have rapidly grown, raising concerns about their carbon footprint. We show four best practices to reduce ML training energy and carbon dio...Show More

Abstract:

Machine learning (ML) workloads have rapidly grown, raising concerns about their carbon footprint. We show four best practices to reduce ML training energy and carbon dioxide emissions. If the whole ML field adopts best practices, we predict that by 2030, total carbon emissions from training will decline.
Published in: Computer ( Volume: 55, Issue: 7, July 2022)
Page(s): 18 - 28
Date of Publication: 28 June 2022

ISSN Information:


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