***

title: Register Your DGX Spark
description: >-
Step-by-step guide to register your NVIDIA DGX Spark with Brev for SSH access,
team sharing, and port forwarding.
----------------------------------

Register your NVIDIA DGX Spark with Brev to enable SSH access, share it with your team, and forward ports — all through the Brev CLI.

## Prerequisites

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

## Registration

<Steps>
  <Step title="Install the Brev CLI">
    Install the Brev CLI on your DGX Spark:

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

  <Step title="Log in to Brev">
    Authenticate with your Brev account:

    ```bash
    brev login
    ```
  </Step>

  <Step title="Register your DGX Spark">
    Register the machine with a descriptive name:

    ```bash
    brev register "My DGX Spark"
    ```

    This command performs three steps:

    1. **Installs NetBird** — A mesh VPN agent for secure connectivity
    2. **Profiles hardware** — Detects your GPU, CPU, RAM, storage, and interconnects
    3. **Registers with Brev** — Makes the machine visible in your organization

    <Callout intent="info">
      This requires `sudo` access. NetBird is installed as a systemd service.
    </Callout>
  </Step>

  <Step title="Enable SSH access">
    Enable SSH so you and your team can connect:

    ```bash
    brev enable-ssh
    ```

    When prompted, enter the SSH port (default is `22`).
  </Step>
</Steps>

Your DGX Spark is now registered and accessible through Brev.

## Connecting to Your DGX Spark

From any machine with the Brev CLI installed:

```bash
brev shell my-dgx-spark
```

## Sharing with Your Team

Grant SSH access to a teammate:

```bash
brev grant-ssh
```

This opens an interactive selector where you choose the org member to grant access. Once granted, they can connect with `brev shell my-dgx-spark` from their own machine.

To revoke access later:

```bash
brev revoke-ssh
```

## Port Forwarding

Forward ports from your DGX Spark to your local machine:

```bash
# Forward Jupyter
brev port-forward my-dgx-spark --port 8888:8888

# Forward multiple ports
brev port-forward my-dgx-spark --port 8888:8888 --port 6006:6006
```

Then open `http://localhost:8888` in your browser.

## Next Steps

* [Managing Registered Compute](/guides/managing-registered-compute) — Detailed guide on sharing, port forwarding, and deregistering
* [CLI Reference](/cli/registered-compute) — Full command reference for registered compute