Suggested resilience configurations - Amazon SageMaker AI

Suggested resilience configurations

When the deep health checks are enabled, whenever a new instance is added to the HyperPod cluster (either during create-cluster or through automatic node replacement), the new instance goes through the deep health check process (instance level stress tests) for about a couple of hours. The following are suggested resilience config combinations depending on possible cases.

  1. Case: When you have additional spare nodes within a cluster as back-up resources (not using the full capacity), or if you can wait for about 2 hours for the deep health check process to get the less error-prone instances.

    Recommendation: Enable the deep health check config throughout the cluster lifecycle. Node auto-recovery config is enabled by default.

  2. Case: When you don't have additional backup nodes (capacity is fully used for some training load). You want to get the replacement nodes as soon as possible to resume the training job.

    Recommendation: Enable the deep health check during cluster creation, then turn-off the deep health check config after the cluster is created. Node auto recovery config is enabled by default.

  3. Case: When you don't have additional backup nodes, and you don't want to wait for the ~2 hour deep health check process (small clusters).

    Recommendation: disable the deep health check config throughout the cluster life cycle. Node auto recovery config is enabled by default.

If you want to resume the training job from a failure immediately, make sure that you have additional spare nodes as backup resources in the cluster.