Single-Node Power Demand During AI Training: Measurements on an 8-GPU NVIDIA H100 System

The expansion of artificial intelligence (AI) applications has driven substantial investment in computational infrastructure, especially by cloud computing providers. Quantifying the energy footprint of this infrastructure requires models parameterized by the power demand of AI hardware during train...

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Autores principales:	Imran Latif, Alex C. Newkirk, Matthew R. Carbone, Arslan Munir, Yuewei Lin, Jonathan Koomey, Xi Yu, Zhihua Dong
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	IEEE 2025-01-01
Colección:	IEEE Access
Materias:	AI training sustainable computing GPU power measurements large language models
Acceso en línea:	https://ieeexplore.ieee.org/document/10938551/
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