Tasks

The following provides information on Amazon SageMaker HyperPod EKS cluster tasks. Tasks are operations or jobs that are sent to the cluster. These can be machine learning operations, like training, running experiments, or inference. The viewable task details list include status, run time, and how much compute is being used per task.

In the Amazon SageMaker AI console, under HyperPod Clusters, you can navigate to the HyperPod console and view your list of HyperPod clusters in your Region. Choose your cluster and navigate to the Tasks tab.

For the Tasks tab to be viewable from anyone besides the administrator, the administrator needs to add an access entry to the EKS cluster for the IAM role.

For EKS clusters, kubeflow (PyTorch, MPI, TensorFlow) tasks are shown. By default, PyTorch tasks are shown. You can filter for PyTorch, MPI, TensorFlow tasks by choosing the dropdown menu or using the search field. The information that is shown for each task includes the task name, status, namespace, priority class, and creation time.