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cs.DC2026
PRISM: Evaluating POSIX Storage Systems for AI Research Workflows
Adithya Kumar, Aditya Basu, Abhinandan Prativadi +4
Large GPU clusters for AI research rely on POSIX-based storage spanning code authoring, data preparation, and model checkpointing. The metric that matters is researcher iteration s…
cs.DC2024★ 1 cited
Revisiting Reliability in Large-Scale Machine Learning Research Clusters
Apostolos Kokolis, Michael Kuchnik, John Hoffman +7
Reliability is a fundamental challenge in operating large-scale machine learning (ML) infrastructures, particularly as the scale of ML models and training clusters continues to gro…