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Green AI Architecture Experimentation

descriptionPublicationkeyboard_double_arrow_right Article 10 Nov 2022 United States English

handle: 1721.1/146345

Green AI Architecture Experimentation

Abstract

The Green AI Architecture Experimentation (GAIA-X) project is developing technologies to promote the concept of green computing by establishing foundational tools and proposing power-reduction strategies. The immediate goals center on developing intelligent tools and strategies to measure and track power consumption in the data center, and demonstrating the effectiveness of various power reduction strategies on AI training and experimentation.

Country
United States
Related Organizations
Keywords

LLSC, MIT Lincoln Laboratory

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green