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

Computer(2022)

引用 65|浏览61
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摘要
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.
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关键词
total carbon emissions,carbon footprint,machine learning,carbon dioxide emissions,ML training,CO2
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