> For the complete documentation index, see [llms.txt](https://ai-docs.fptcloud.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ai-docs.fptcloud.com/fpt-gpu-cloud/gpu-cluster/managed-k8s-with-metal-cloud/tutorial/delete-a-cluster.md).

# Delete a cluster

For Managed GPU Clusters that are no longer needed, customers can delete them by following

the following instructions:

**Step 1**: In the menu, select **AI Infrastructure**> **Managed GPU Cluster**. The system will display the **GPU Cluster Management** page. Select the Cluster you want to retrieve information about to access the Cluster.

![](/files/101fd6bd1b2c39c94e6ff5de38dd3c87bf0ccb12)

**Step 2**: Select **Action**at the end of the Cluster you want to delete from the list. Select Delete.

![](/files/6e56fd9c14acd2fe10523e2033c556f55292fd4d)

**Step 3**: Confirm the warning information in the popup and select **Delete**.

![](/files/8e32b59f9e075ac1538b52d5390ff994d55b7134)


---

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