The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink
The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink
David A. Patterson,Joseph Gonzalez,7 Authors,J. Dean
2022 · DOI: 10.36227/techrxiv.19139645
Computer · 515 Citations
TLDR
If the whole ML field adopts best practices, it is predicted that by 2030, total carbon emissions from training will decline.
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.