> For the complete documentation index, see [llms.txt](https://run-ai-docs.nvidia.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://run-ai-docs.nvidia.com/self-hosted/2.25/reference/cli/set-kubeconfig-parameters.md).

# Add NVIDIA Run:ai Authorization to Kubeconfig

The `runai kubeconfig set` command allows users to configure their kubeconfig file with NVIDIA Run:ai authorization token. This setup enables users to gain access to the Kubernetes (K8s) cluster seamlessly.

{% hint style="info" %}
**Note**

Setting kubeconfig is not required in order to use the CLI. This command is used to enable third-party workloads under NVIDIA Run:ai authorization.
{% endhint %}

## Usage

To set the token (will be fetched automatically) inside the kubeconfig file, run the following command:

```sh
runai kubeconfig set
```

## Prerequisites

Before executing the command, ensure that

1. [Cluster authentication](/self-hosted/2.25/infrastructure-setup/authentication/cluster-authentication.md) is configured and enabled.
2. The user has a kubeconfig file configured.
3. The user is logged in (use the [runai login](/self-hosted/2.25/reference/cli/runai/runai_login.md) command).

## User Kubeconfig Configuration

Add the following to the Kubernetes client configuration file (.`/kube/config`). For the full command reference, see [kubeconfig set](/self-hosted/2.25/reference/cli/runai/runai_kubeconfig_set.md).

* Make sure to replace values with the actual cluster information and user credentials.
* There can be multiple contexts in the kubeconfig file. The command will configure the current context.

```yaml
apiVersion: v1
kind: Config
preferences:
  colors: true
current-context: <CONTEXT_NAME>
contexts:
- context:
    cluster: <CLUSTER_NAME>
    user: <USER_NAME>
  name: <CONTEXT_NAME>
clusters:
- cluster:
    server: <CLUSTER_URL>
    certificate-authority-data: <CLUSTER_CERT>
  name: <CLUSTER_NAME>
users:
- name: <USER_NAME>
```


---

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