Empirically-calibrated H100 node power models for accurate AI training energy estimation

Accurately quantifying the energy use of artificial intelligence (AI) training is critical for infrastructure planning, carbon accounting, and sustainable data center operation, but few studies have directly measured the power consumption of production workloads on contemporary hardware. By combinin...

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Bibliografiske detaljer

Principais autores:	Alex C Newkirk, Jared Fernandez, Jonathan Koomey, Imran Latif, Emma Strubell, Arman Shehabi, Constantine Samaras
Format:	Artigo
Sprog:	Inglês
Udgivet:	IOP Publishing 2025-01-01
Serier:	Environmental Research: Energy
Fag:	AI energy use accelerator power demand computational infrastructure requirements
Online adgang:	https://doi.org/10.1088/2753-3751/ae2486
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