Manually Install, Update, and Uninstall on Jetson (Remote)#

Learn how to manually install, update, or remove NVIDIA AI Workbench on a Jetson system.

Agree to the NVIDIA AI Product Agreement

Before downloading or installing, please read the NVIDIA AI Product Agreement, the NVIDIA AI Workbench Shared Security Model, and our Data Privacy Policy.

By downloading, installing, or using the NVIDIA AI Workbench software, you agree to the terms of the NVIDIA AI Product Agreement (EULA). If you do not agree to the terms of the EULA, you are not authorized to download, install, or use NVIDIA AI Workbench. Before downloading and using NVIDIA AI Workbench, please read our Shared Security Model.

Overview of Installing on Jetson#

This requires a bit more user configuration than installing on other systems.

Basic Steps#

  • Enable SSH access to the Jetson device

  • Install AI Workbench on the Jetson device using the CLI

  • Resolve a Docker compatibility issue with JetPack

  • Connect your local Workbench to the remote Jetson

Prerequisites for Your Jetson System#

  • System resources:

    • 500 MB of disk space for the AI Workbench application

    • 30-40 GB of disk space for containers

    • 16 GB of RAM

Install AI Workbench on a Jetson Remote#

You can connect your Jetson Nano as a remote development location for AI Workbench by following the steps below.

Configure SSH Access to the Jetson Device#

  1. Get the Jetson device’s IP Address by running: ifconfig

  2. Look for an interface that includes: flags=4163<UP,BROADCAST,RUNNING,MULTICAST>, and note the inet address (e.g., 192.168.40.125) because you will need it later

  3. Install and Configure SSH by running:

    sudo apt update && sudo apt install openssh-server

  4. Allow Required Ports (UFW) by running:

    sudo ufw enable && sudo ufw allow 10000 && sudo ufw allow 10001

Test the SSH Connection from Local Device to the Jetson#

  1. Setup SSH access from your local device (e.g., your laptop)

    Follow SSH key generation steps in the Remote Locations Guide if needed.

  2. Check for Existing SSH Keys

    ls -la ~/.ssh/

    If keys don’t exist, create them:

    ssh-keygen -t rsa

  3. Add your private key to the SSH agent:

    eval "$(ssh-agent -s)"
ssh-add ~/.ssh/id_rsa

  4. Copy your public key to the Jetson Nano:

    ssh-copy-id jetson-username@jetson-ip-address

  5. Test SSH access:

    ssh jetson-username@jetson-ip-address

Install AI Workbench CLI on Jetson#

Run these commands on the Jetson:

mkdir -p $HOME/.nvwb/bin && \
curl -L https://workbench.download.nvidia.com/stable/workbench-cli/$(curl -L -s https://workbench.download.nvidia.com/stable/workbench-cli/LATEST)/nvwb-cli-Linux-arm64 --output $HOME/.nvwb/bin/nvwb-cli && \
chmod +x $HOME/.nvwb/bin/nvwb-cli && \
sudo -E $HOME/.nvwb/bin/nvwb-cli install

Fix Docker Compatibility Issue on Jetson#

Due to known issues with JetPack and newer Docker versions:

  1. Create the configuration file:

    sudo mkdir -p /etc/systemd/system/docker.service.d
sudo nano /etc/systemd/system/docker.service.d/jetson-docker.conf

  2. Add the following content:

    [Service]
Environment="DOCKER_INSECURE_NO_IPTABLES_RAW=1"

  3. Reload and restart Docker:

    sudo systemctl daemon-reload
sudo systemctl restart docker.service

Connect via AI Workbench#

Follow the steps in the Remote Locations Guide to connect to your Jetson Nano using the AI Workbench GUI or nvwb CLI.

FAQs#

See the Ubuntu remote FAQs

Next Steps#