> 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/add-a-worker-group.md).

# Add a Worker group

Managed GPU Cluster allows users to add worker groups to the cluster as needed. To add workers, customers can perform the following steps on the portal:

**Step 1**: In the menu, select **AI Infrastructure**> **Managed GPU Cluster**. The system will display the

**Managed GPU Management**. Select the cluster to which you want to add a Worker Group.

![](/files/f64324d8b6403df8cfcfb7b54e1542b07aeb9e50)

**Step 2**: Select **Node Pools**> **Edit Workers**.

![](/files/3076a9445f450d65aa92d91ca1b2deef1ec98472)

**Step 3**: Select **Add Worker Group**.

![](/files/2a3de15c53c835da8977b987669c97a78b61cdb3)

**Step 4**: Enter the required information fields and click **Save**.

![](/files/65ed4bca5ee78c70745bd3fe90c2e08a6cfb3b6f)

* **Group Name**: Name the Worker Group to distinguish it from other Worker Groups
* **Container Runtime**: Select the container runtime; currently, the system only supports the Containerd container runtime
* **Flavor**: Resource flavor of the Worker GPU
* **Number of Servers**: Number of Metal Cloud Servers created to run Workers in the Cluster
* **Label**: Apply a label to the Worker Group
* **Taint**: Apply a taint to the Worker Group

**Note**: The process of adding a new Cluster will take a few minutes, and the Cluster status will change to **Processing**. The Cluster will continue to operate normally while adding a new Worker Group.


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