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This session presents production practices for improving accelerator utilization in large Kubernetes clusters. It covers large-scale LLM training, GPU sharing, workload scheduling, checkpointing, and hybrid training-inference approaches.
Syllabus
Is Your GPU Really Working Efficiently in the Data Center? N Ways to Imp... Xiao Zhang & Wu Ying Jun
Taught by
Linux Foundation