NVIDIA JetPack SDK

Assuming your Jetson developer kit has been flashed with and is running L4T 32.3.1 or higher, the following commands will install all other JetPack components that correspond to your version of L4T:

sudo apt update

sudo apt install nvidia-jetpack

To view individual Debian packages which are part of nvidia-jetpack metapackage, enter the command:

sudo apt show nvidia-jetpack

Refer to the NVIDIA Jetson Linux Developer Guide for details about L4T specific Debian packages.

If disk space is limited (for example, when using a 16GB microSD card with a Jetson Nano or Jetson Xavier NX developer kit), use these commands:

Starting with JetPack 4.4, upgrading to the next JetPack release can be achieved using a package management tool like apt. Follow the below steps to perform the upgrade:

1. First, upgrade L4T.

   Please refer to the section "To upgrade to a new point release" in the NVIDIA Jetson Linux Developer Guide if upgrading to a new point release; for example, upgrading from JetPack 4.4 to JetPack 4.4.1.

   Please refer to the section "To upgrade to a new minor release" in the NVIDIA Jetson Linux Developer Guide if upgrading to a new minor release; for example, upgrading from JetPack 4.5 to JetPack 4.6.

2. Next, upgrade the other JetPack components.

   sudo apt install nvidia-jetpack

If disk space is limited (for example, when using a 16GB microSD card with a Jetson Nano or Jetson Xavier NX developer kit), follow these steps:

1. Remove all JetPack compute components.

   If you are running JetPack 4.4, use the following command:

   sudo apt autoremove --purge nvidia-container-csv-cuda libopencv-python libvisionworks-sfm-dev libvisionworks-dev libvisionworks-samples libnvparsers6 libcudnn7-doc libcudnn7-dev libnvinfer-samples libnvinfer-bin nvidia-container-csv-cudnn libvisionworks-tracking-dev vpi-samples tensorrt libopencv libnvinfer-doc libnvparsers-dev libcudnn7 libnvidia-container0 cuda-toolkit-10-0 nvidia-container-csv-visionworks graphsurgeon-tf libopencv-samples python-libnvinfer-dev libnvinfer-plugin-dev libnvinfer-plugin6 nvidia-container-toolkit libnvinfer-dev libvisionworks libopencv-dev nvidia-l4t-jetson-multimedia-api vpi-dev vpi python3-libnvinfer python3-libnvinfer-dev opencv-licenses nvidia-container-csv-tensorrt libnvinfer6 libnvonnxparsers-dev libnvonnxparsers6 uff-converter-tf nvidia-docker2 libvisionworks-sfm libnvidia-container-tools nvidia-container-runtime python-libnvinfer libvisionworks-tracking

   If you are running JetPack 4.5, use the following command:

   sudo apt autoremove --purge nvidia-container-csv-cuda libopencv-python libvisionworks-sfm-dev libvisionworks-dev libvisionworks-samples libnvparsers7 libcudnn8-doc libcudnn8-dev libnvinfer-samples libnvinfer-bin nvidia-container-csv-cudnn libvisionworks-tracking-dev vpi1-samples tensorrt libopencv libnvinfer-doc libnvparsers-dev libcudnn8 libnvidia-container0 cuda-toolkit-10-2 nvidia-container-csv-visionworks graphsurgeon-tf libopencv-samples python-libnvinfer-dev libnvinfer-plugin-dev libnvinfer-plugin7 nvidia-container-toolkit libnvinfer-dev libvisionworks libopencv-dev nvidia-l4t-jetson-multimedia-api vpi1-dev vpi1-demos python3-libnvinfer python3-libnvinfer-dev opencv-licenses nvidia-container-csv-tensorrt libnvinfer7 libnvonnxparsers-dev libnvonnxparsers7 uff-converter-tf nvidia-docker2 libvisionworks-sfm libnvidia-container-tools nvidia-container-runtime python-libnvinfer libvisionworks-tracking

2. If the current version of JetPack was installed using SDK Manager, remove the local repo. (The example shown below assumes you will upgrade from JetPack 4.3.)

   sudo apt purge cuda-repo-l4t-10-0-local-10.0.326 libvisionworks-repo libvisionworks-sfm-repo libvisionworks-tracking-repo

3. Free up additional disk space.

   sudo apt clean

4. Upgrade L4T by referring to the OTA section of the NVIDIA Jetson Linux Developer Guide.

5. Install the new JetPack components.

   apt depends nvidia-jetpack | awk '{print $2}' | xargs -I {} sudo apt install -y {}