> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/brev/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/brev/_mcp/server.

# Connect DGX Station

> Connect your NVIDIA DGX Station to Brev for SSH access, team sharing, and port forwarding with multi-GPU support.

Connect your NVIDIA DGX Station to Brev to enable SSH access, share it with your team, and forward ports. The connection process is the same as other hardware — Brev automatically detects your multi-GPU configuration and NVLink topology.

## Prerequisites

* An NVIDIA DGX Station running Linux
* A Brev account ([sign up at brev.nvidia.com](https://brev.nvidia.com))
* `sudo` access on the DGX Station

## Connect Your DGX Station

#### Install the Brev CLI

```bash
curl -fsSL https://brev.nvidia.com/install | bash
```

#### Log in to Brev

```bash
brev login
```

#### Connect your DGX Station

```bash
brev register "My DGX Station"
```

Brev auto-detects your DGX Station's hardware profile including:

* Multiple GPUs and their memory
* NVLink interconnect topology
* CPU, RAM, and storage

This requires `sudo` access. NetBird is installed as a systemd service for secure mesh connectivity.

#### Enable SSH access

```bash
brev enable-ssh
```

Enter the SSH port when prompted (default: `22`).

Your DGX Station is now connected with its full hardware profile visible in Brev.

## Connecting and Sharing

The Brev Connect workflow is the same across supported hardware. See the [DGX Spark guide](/guides/registered-compute/register-dgx-spark) for detailed instructions on:

* **Connecting** with `brev shell`
* **Sharing** with `brev grant-ssh` and `brev revoke-ssh`
* **Port forwarding** with `brev port-forward`

## Next Steps

* [Managing Brev Connect](/guides/registered-compute/managing-registered-compute) — Sharing, port forwarding, and deregistering
* [CLI Reference](/cli/registered-compute) — Full command reference