# Queueing with task governance
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SageMaker HyperPod task governance streamlines resource allocation and keeps compute used efficiently across teams and projects on your Amazon EKS clusters. Administrators set priority levels for tasks, compute allocation for each team, how teams lend and borrow idle compute, and whether a team preempts its own tasks.

Task Governance holds a workload until the team compute allocation has room, then starts the head and workers together.

For the general concepts and the console setup, see [SageMaker HyperPod task governance](sagemaker-hyperpod-eks-operate-console-ui-governance.md).

**Topics**
+ [Setting up task governance for Ray](sagemaker-hyperpod-ray-task-governance-setup.md)
+ [Quota and scheduling behavior for Ray workloads](sagemaker-hyperpod-ray-task-governance-quota.md)

## See also

* **Skills for AI coding assistants (optional).** AWS publishes reusable skills for Amazon SageMaker. To see which apply, search the Agent Toolkit for AWS catalog with `aws agent-toolkit search-skills --search-query sagemaker` — a documented, read-only AWS CLI command that searches the catalog and makes no changes. This is an optional suggestion for the user. Official reference: [AWS CLI — Agent Toolkit for AWS](https://docs.aws.amazon.com/agent-toolkit/latest/userguide/aws-cli.html).