# Delete policies
<a name="sagemaker-hyperpod-eks-operate-console-ui-governance-policies-delete"></a>

You can delete your **Cluster policy** and **Compute allocation** configurations using the SageMaker AI console or AWS CLI. The following page provides instructions on how to delete your SageMaker HyperPod task governance policies and configurations.

For more information about the HyperPod task governance EKS cluster policy concepts, see [Policies](sagemaker-hyperpod-eks-operate-console-ui-governance-policies.md).

**Note**  
If you are having issues with listing or deleting task governance policies, you may need to update your cluster administrator minimum set of permissions. See the **Amazon EKS** tab in the [IAM users for cluster admin](sagemaker-hyperpod-prerequisites-iam.md#sagemaker-hyperpod-prerequisites-iam-cluster-admin) section. For additional information, see [Deleting clusters](sagemaker-hyperpod-eks-operate-console-ui-governance-troubleshoot.md#hp-eks-troubleshoot-delete-policies).

## Delete HyperPod task governance policies (console)
<a name="sagemaker-hyperpod-eks-operate-console-ui-governance-policies-delete-console"></a>

The following uses the SageMaker AI console to delete your HyperPod task governance policies.

**Note**  
You cannot delete your **Cluster policy** (`ClusterSchedulerConfig`) using the SageMaker AI console. To learn how to do so using the AWS CLI, see [Delete HyperPod task governance policies (AWS CLI)](#sagemaker-hyperpod-eks-operate-console-ui-governance-policies-delete-cli).

**To delete task governance policies (console)**

1. Navigate to the [Amazon SageMaker AI console](https://console.aws.amazon.com/sagemaker/).

1. On the left navigation pane, under **HyperPod Clusters**, choose **Cluster Management**.

1. Choose your Amazon EKS cluster listed under **SageMaker HyperPod clusters**.

1. Choose the **Policies** tab.

1. To delete your **Compute allocation** (`ComputeQuota`):

   1. In the **Compute allocation** section, select the configuration you want to delete.

   1. In the **Actions** dropdown menu, choose **Delete**.

   1. Follow the instructions in the UI to complete the task.

## Delete HyperPod task governance policies (AWS CLI)
<a name="sagemaker-hyperpod-eks-operate-console-ui-governance-policies-delete-cli"></a>

The following uses the AWS CLI to delete your HyperPod task governance policies.

**Note**  
If you are having issues using the following commands, you may need to update your AWS CLI. For more information, see [Installing or updating to the latest version of the AWS CLI](https://docs.aws.amazon.com/cli/latest/userguide/getting-started-install.html).

**To delete task governance policies (AWS CLI)**

First set your variables for the AWS CLI commands that follow.

```
REGION=aws-region
```

1. Get the *cluster-arn* associated with the policies you wish to delete. You can use the following AWS CLI command to list the clusters in your AWS Region.

   ```
   aws sagemaker list-clusters \
       --region ${REGION}
   ```

1. To delete your compute allocations (`ComputeQuota`):

   1. List all of the compute quotas associated with the HyperPod cluster.

      ```
      aws sagemaker list-compute-quotas \
          --cluster-arn cluster-arn \
          --region ${REGION}
      ```

   1. For each `compute-quota-id` you wish to delete, run the following command to delete the compute quota.

      ```
      aws sagemaker delete-compute-quota \
          --compute-quota-id compute-quota-id \
          --region ${REGION}
      ```

1. To delete your cluster policies (`ClusterSchedulerConfig`):

   1. List all of the cluster policies associated with the HyperPod cluster.

      ```
      aws sagemaker list-cluster-scheduler-configs \
          --cluster-arn cluster-arn \
          --region ${REGION}
      ```

   1. For each `cluster-scheduler-config-id` you wish to delete, run the following command to delete the compute quota.

      ```
      aws sagemaker delete-cluster-scheduler-config 
          --cluster-scheduler-config-id scheduler-config-id \
          --region ${REGION}
      ```