The carbon footprint of machine learning training will plateau, then shrink

D Patterson, J Gonzalez, U Hölzle, Q Le, C Liang… - Computer, 2022 - ieeexplore.ieee.org
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 …

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

D Patterson, J Gonzalez, U Hölzle, Q Le… - arXiv preprint arXiv …, 2022 - arxiv.org
Machine Learning (ML) workloads have rapidly grown in importance, but raised concerns
about their carbon footprint. Four best practices can reduce ML training energy by up to 100x …

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

D Patterson, J Gonzalez, U Hölzle, Q Le… - arXiv e …, 2022 - ui.adsabs.harvard.edu
Abstract Machine Learning (ML) workloads have rapidly grown in importance, but raised
concerns about their carbon footprint. Four best practices can reduce ML training energy by …

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

D Patterson, J Gonzalez, U Hölzle, Q Le, C Liang… - Computer, 2022 - dl.acm.org
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 …

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

D Patterson, J Gonzalez, U Hölzle, QH Le, C Liang… - Authorea …, 2023 - techrxiv.org
Machine Learning (ML) workloads have rapidly grown in importance, but raised concerns
about their carbon footprint. Four best practices can reduce ML training energy by up to 100x …

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

D Patterson, J Gonzalez, U Hölzle, QH Le… - Authorea …, 2023 - advance.sagepub.com
Machine Learning (ML) workloads have rapidly grown in importance, but raised concerns
about their carbon footprint. Four best practices can reduce ML training energy by up to 100x …

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

D Patterson, J Gonzalez, U Holzle, Q Le, C Liang… - Computer, 2022 - computer.org
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 …

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

D Patterson, J Gonzalez, U Hölzle, QH Le… - Authorea …, 2023 - authorea.com
Machine Learning (ML) workloads have rapidly grown in importance, but raised concerns
about their carbon footprint. Four best practices can reduce ML training energy by up to 100x …

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

D Patterson, J Gonzalez, U Hölzle, QH Le… - Authorea …, 2023 - essopenarchive.org
Machine Learning (ML) workloads have rapidly grown in importance, but raised concerns
about their carbon footprint. Four best practices can reduce ML training energy by up to 100x …

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

D Patterson, J Gonzalez, U Holzle, Q Le, C Liang… - Computer, 2022 - par.nsf.gov
Like prior work, we focus on operational emissions; estimating lifecycle emissions is a
larger, future study. We identified best practices that can reduce energy use by up to 100× …