Show HN: Autonomous recovery for distributed training jobs
Summary
The article introduces TensorPool Agent, a beta autonomous monitoring and recovery system for long-running distributed training jobs on Kubernetes, Slurm, or TensorPool Jobs. It monitors workloads, attempts recovery from the last checkpoint when failures occur, and provides transparency by listing actions taken or proposed. It targets late-stage failures (post-checkpoint) such as hardware errors, NCCL issues, I/O problems, and network/storage faults, and outlines setup requirements and failure-state workflows.