Untangling GPU Power Consumption: Job-Level Inference in Cloud Shared Settings

Proceedings of the 21st European Conference on Computer Systems 2026 Open access

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Authors: Pierre Jacquet, Maxime Agusti, Eddy Caron, Camille Coti, Marcos Dias de Assunção, Laurent Lefèvre, Anne‐Cécile Orgerie
DOI: 10.1145/3767295.3769333
Cited by: 2
References: 45

Abstract

As the demand for AI-driven workloads increases, the energy consumption of Graphics Processing Units (GPUs) devices has come under intense scrutiny, particularly in hyperscale data centers where large numbers of accelerators are centralized and leased to diverse clients.

Fields of Study & Subjects

Cloud Computing and Resource Management IoT and Edge/Fog Computing Distributed and Parallel Computing Systems

Publication details

Journal / source
Proceedings of the 21st European Conference on Computer Systems
Publisher
ACM
Pages
624–640
Publication date
24 April 2026
Language
EN