> 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/access-a-cluster.md).

# Access a cluster

**Step 1**: In the menu, select **Managed GPU Cluster**, and the system will display the **Managed GPU Management** page. Select the Cluster for which you want to view detailed information.

![](/files/53520ea363f4509a4ddbaea6496a088c4040602f)

**Step 2**: The **Essential Properties** tab will display the Cluster's information.

![](/files/9b5134f4ced872fc3c1b29f12581e52b002a402d)

1. **Cluster Information**: Basic information about the cluster includes:

* Cluster Name: The name assigned when the cluster was created
* Version: The version of the cluster
* Configuration: Allows you to download kube-config to communicate with the cluster
* Network: The subnet range selected when creating the cluster
* Status: The actual status of the cluster
* SSH public key: The public key information selected when creating the cluster

1. \*\*GPU Software List:\*\*Displays all GPU software installed on the cluster
2. **Load Balancer Service**: Information about the Internal LB Subnet entered
3. **API**: API URL leading to the cluster

**Step 3**: The **Node Pools** tab displays all Worker Groups belonging to the cluster and the configuration information for each Worker Group.

![](/files/9e258243bfba84e72a2cf6243049aeb70043aba7)

* **Name**: Worker Group name
* **Is Based**: Display (✅) if it is a Worker base, and (✘) if it is not a Worker Base
* **Flavor Type**: Displays the selected resource flavor
* **Number of Servers**: Number of metal cloud servers for the Worker


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