> 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/kubernetes-configuration.md).

# Kubernetes Configuration

The Kube-config file is used to store connection information to the Kubernetes cluster, helping tools such as kubectl, kubelet, and kubeâdm determine how to communicate with the Kubernetes API Server. The kubeconfig file is very important in managing access to Kubernetes, so it must be carefully secured.

To download the Kube-config file, customers should follow these instructions:

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

![](/files/f37d78cb170170c76fba4f91c6c4e5876df3ee87)

**Step 2**: Under **Essential Properties**> Cluster Information > Configuration, you can download

the kubeconfig file to log in to the Cluster via kubectl or other tools.

![](/files/f29b02caeae92423cf4b9624b2d16af985355303)Note:

Managed GPU Cluster uses Native Kubernetes Cluster as its core, allowing users to use the Cluster with kubectl tools and dashboard just like a regular Kubernetes Cluster.


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