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Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Moore, Hayden, Qi, Sirui, Hogade, Ninad, Milojicic, Dejan, Bash, Cullen, Pasricha, Sudeep
Formato:	Preprint
Publicado:	2025
Materias:	Distributed, Parallel, and Cluster Computing Artificial Intelligence Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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