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Tactic: Use Energy-Efficient Hardware
Tactic sort:
Awesome Tactic
Type: Architectural Tactic
Category: green-ml-enabled-systems
Title
Use Energy-Efficient Hardware
Description
The emissions of machine learning are related to used hardware. This is why using energy-efficient hardware to run machine models can reduce the power consumption of models. Energy-efficient hardware can include low-energy components. For example, the Tensor Processing Units (TPUs) developed by Google are seen as an energy-efficient alternative to CPUs and GPUs.
Participant
Software Designer
Related software artifact
Hardware
Context
Machine Learning
Software feature
< unknown >
Tactic intent
Improve energy efficiency by using energy-efficient hardware
Target quality attribute
Energy Efficiency
Other related quality attributes
< unknown >
Measured impact
< unknown >
Source
Lynn H Kaack, Priya L Donti, Emma Strubell, George Kamiya, Felix Creutzig, and David Rolnick. 2022. Aligning Artificial Intelligence with Climate Change Mitigation. Nature Climate Change 12, 6 (2022), 518–527 (DOI: https://doi.org/10.1038/s41558-022-01377-7)Graphical representation
