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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| Principais autores: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IOP Publishing
2025-01-01
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| coleção: | Environmental Research: Energy |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1088/2753-3751/ae2486 |
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