---
title: "Register DGX Spark to Brev"
publisher: "nvidia"
type: "playbook"
updated: "2026-05-30T03:29:36.554Z"
description: "Link your DGX Spark to Brev for remote access and shared environments"
canonical: "https://build.nvidia.com/spark/register-to-brev.md"
---

# Basic idea

NVIDIA Brev is an AI development platform that makes GPU environments remotely accessible, shareable, and easy to standardize using preconfigured setups called Launchables. 

This walkthrough will help you connect your NVIDIA DGX Spark to Brev so it shows up as a managed GPU environment in Brev. After a one-time registration, your Spark becomes remotely accessible and shareable.

# What you'll accomplish

You’ll register your DGX Spark with Brev and it will be visible as a healthy node in the Brev web UI and CLI, ready to share access and accept workloads whenever needed.

# What to know before starting

While Brev automates the complex configuration, understanding a few key concepts when establishing the initial connection will be useful:

* **Terminal Basics**:
* Familiarity with the command line to run a few simple setup commands

# Prerequisites

Your DGX Spark [device is set up](https://docs.nvidia.com/dgx/dgx-spark/first-boot.html). You will also need the following:

* **Brev Account**:
* Have an NVIDIA Brev account. Create one [here](https://login.brev.nvidia.com/signin) if you don’t have one.

* **Permissions**:
* You have administrative (root or sudo) access on the DGX Spark device to run the registration command.

# Time & risk

* **Estimated time:** 5-10 minutes
* **Risk level:** Low - Registration configures the Spark for secure remote access without altering your existing workloads
* **Rollback:** The Brev configuration can be removed through the UI and CLI

## More

- [Instructions](/spark/register-to-brev/instructions.md)
- [Troubleshooting](/spark/register-to-brev/troubleshooting.md)