Sponsor Editorial

Large-scale GPU clusters fail constantly — ECC errors, network link flaps, thermal events, and hard node failures are daily occurrences at scale. The standard response, restarting from the last checkpoint, costs 30 minutes to several hours of wall-clock time and thousands of lost GPU-hours per incident.

This technical whitepaper details how TorchPass solves that problem through live GPU migration. Sitting between the training framework and the cluster scheduler, TorchPass detects failing or degrading nodes, provisions a healthy spare, and transfers training state directly — so from the job's perspective, there's just a brief pause before training resumes at the same iteration step, with zero lost work.