Incident Library
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  1. Symptoms

    A 64-GPU training run (experiment tr_141, 8 nodes of the Jean Zay cluster) stopped making progress after about 3.5 hours: the main log stopped being written and the job hung without exiting. The c10d timeout of 30 minutes did not abort it, and the job stayed frozen indefinitely. The same hang had already happened on a different set of nodes, which first pointed to a software problem.

    Trigger

    The filesystem of the Jean Zay HPC system froze and stopped responding while rank 0 on the first node was writing to its log.

    Root cause
    Component
    Contributing factor
    Detection

    The engineer, who happened to be around, noticed that the main training log had stopped being written.

Check your cluster for this

This case involves PyTorch and Shared network filesystem. kubegap audits a Kubernetes cluster for gaps like these, read-only, from Claude Code or Codex; its checks cite public reports like the ones in this library.

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