NVIDIA JetPack Documentation
How to Install JetPack - - Last updated January 25, 2023

1. How to Install JetPack

Depending on your Jetson device, there are multiple ways to install JetPack.

1.1. SD Card Image

For NVIDIA Jetson Xavier NX developer kit users, the simplest JetPack installation method is to follow the steps at the Getting Started web page to download and write an image to your microSD card, then use it to boot the developer kit.

Note:

If you have not previously run a JetPack 5.x release on your Jetson Xavier NX Developer kit, you must first update its QSPI before using this JetPack 5.1 SD Card image. You can download an updated QSPI image from here page, and then follow the QSPI update instructions from the Jetson Linux Developer Guide.  

1.2. NVIDIA SDK Manager

NVIDIA SDK Manager supports JetPack installation on these Jetson products:

  • NVIDIA Jetson AGX Orin Developer Kit

  • NVIDIA Jetson AGX Xavier Developer Kit

  • NVIDIA Jetson Xavier NX Developer Kit

  • NVIDIA Jetson AGX Orin 32GB module on a Jetson AGX Orin Developer Kit carrier board

  • NVIDIA Jetson AGX Xavier series modules on a Jetson AGX Xavier Developer Kit carrier board

  • NVIDIA Jetson Xavier NX modules on a Jetson Xavier NX Developer Kit carrier board

A Linux host computer running Ubuntu Linux x64 version 20.04 or 18.04 is required to run SDK Manager. Detailed instructions can be found here:

https://docs.nvidia.com/sdk-manager/index.html

1.3. Package Management Tool

NVIDIA offers JetPack components as Debian packages. The Debian package management server can be accessed at https://repo.download.nvidia.com/jetson/.

1.3.1. Install JetPack Components on Jetson Linux

Assuming your Jetson developer kit has been flashed with and is running L4T 35.1, the following commands will install all other JetPack components that correspond to your version of Jetson Linux 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, use these commands:

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

1.3.2. Upgrade JetPack

To upgrade from previous JetPack 5.x releases, first edit etc/apt/sources.list.d/nvidia-l4t-apt-source.list to point to the 35.2 repo (just change the version to r35.2 in both lines). Next, use the following commands, then physically reboot the system:

sudo apt update
sudo apt dist-upgrade
sudo apt install --fix-broken -o Dpkg::Options::="--force-overwrite"

If you see the below error:

ERROR. Procedure for A_kernel-dtb update FAILED.

please use the following 3 commands and re-attempt the upgrade (do not reboot the device after running below command and before re-attempting the upgrade).

sudo parted /dev/mmcblk0 -s rm 4
sudo parted /dev/mmcblk0 -s resizepart 3 67.9MB
sudo parted /dev/mmcblk0 mkpart A_reserved_on_user 67.9MB 101MB

Please select "Ignore" when prompted.

1.4. List of JetPack Debian Packages

The following is a list of Debian update packages for JetPack components for Jetson devices as of the time of JetPack 5.1. Please refer to the Jetson Linux Developer Guide for the list of Jetson Linux Debian packages.

Component Group Packages

CUDA Toolkit for L4T

cuda-11-4

cuda-cccl-11-4

cuda-command-line-tools-11-4

cuda-compiler-11-4

cuda-cudart-11-4

cuda-cudart-dev-11-4

cuda-cuobjdump-11-4

cuda-cupti-11-4

cuda-cupti-dev-11-4

cuda-cuxxfilt-11-4

cuda-documentation-11-4

cuda-driver-dev-11-4

cuda-gdb-11-4

cuda-libraries-11-4

cuda-libraries-dev-11-4

cuda-nvcc-11-4

cuda-nvdisasm-11-4

cuda-nvml-dev-11-4

cuda-nvprune-11-4

cuda-nvrtc-11-4

cuda-nvrtc-dev-11-4

cuda-nvtx-11-4

cuda-profiler-api-11-4

cuda-runtime-11-4

cuda-samples-11-4

cuda-sanitizer-11-4

cuda-toolkit-11-4

cuda-toolkit-11-4-config-common

cuda-toolkit-11-config-common

cuda-toolkit-config-common

cuda-tools-11-4

cuda-visual-tools-11-4

libcublas-11-4

libcublas-dev-11-4

libcudla-11-4

libcudla-dev-11-4

libcufft-11-4

libcufft-dev-11-4

libcurand-11-4

libcurand-dev-11-4

libcusolver-11-4

libcusolver-dev-11-4

libcusparse-11-4

libcusparse-dev-11-4

libnpp-11-4

libnpp-dev-11-4

cuDNN

libcudnn8

libcudnn8-dev

libcudnn8-samples

TensorRT

graphsurgeon-tf

libnvinfer-bin

libnvinfer-dev

libnvinfer-plugin-dev

libnvinfer-plugin8

libnvinfer-samples

libnvinfer8

libnvonnxparsers-dev

libnvonnxparsers8

libnvparsers-dev

libnvparsers8

python3-libnvinfer

python3-libnvinfer-dev

tensorrt

uff-converter-tf

OpenCV

libopencv-dev

libopencv

libopencv-python

libopencv-samples

opencv-licenses

VPI

libnvvpi2

python3.8-vpi2

python3.9-vpi2

vpi2-demos

vpi2-dev

vpi2-samples

NVIDIA container runtime with Docker integration

libnvidia-container-tools  

libnvidia-container0

libnvidia-container1

nvidia-container-runtime

nvidia-container-toolkit

nvidia-docker2

Multimedia API

nvidia-l4t-jetson-multimedia-api

NVSCI

nvidia-lt-nvsci

The following is a list of meta-packages that are available to easily install on Jetson. At a higher level, the nvidia-jetpack meta-package includes nvidia-jetpack-runtime meta-package and nvidia-jetpack-dev meta-package. nvidia-jetpack-runtime includes runtime only parts of JetPack components and does not include samples, documentation, etc. Meanwhile, the nvidia-jetpack-dev meta-package includes everything required for development.

You can install either the higher level meta-packages using apt install, OR install individual component meta-packages depending on your requirements. These meta-packages can be installed either on top of Jetson Linux, or in a container running on Jetson Linux.

1.5. JetPack Debian Packages on Host

NVIDIA provides a group of Debian packages that add or update JetPack components on the host computer.

To prepare the host computer to install JetPack components, do the following steps:

  1. Enter the following command to install the public key of the x86_64 repository of the public APT server:

    $ sudo apt-key adv --fetch-key http://repo.download.nvidia.com/jetson/jetson-ota-public.asc
  2. Add the following x86_64 repository to the host system's source list.

    • For an Ubuntu 18.04 host:

      deb http://repo.download.nvidia.com/jetson/x86_64/bionic r35.1 main
    • For an Ubuntu 20.04 host:

      deb http://repo.download.nvidia.com/jetson/x86_64/focal r35.1 main
  3. Enter the following command:

    $ sudo apt update
  4. Use apt to download and install the required packages.

    $ sudo apt-get install cuda-cross-aarch64-11-4 cuda-cupti-cross-aarch64-11-7 cuda-sanitizer-11-7 cuda-toolkit-11-4 libnvvpi2 nsight-compute-2022.2.1 nsight-compute-addon-l4t-2022.2.1 nsight-graphics-for-embeddedlinux-2022.3.0.0 nsight-systems-2022.3.3 nvsci python3.8-vpi2 vpi2-demos vpi2-cross-aarch64-l4t vpi2-dev vpi2-samples

The following table lists JetPack components that you can install with apt, and the packages that contain them.

Component Group Packages

CUDA

cuda

cuda-11-4

cuda-cccl-11-4

cuda-command-line-tools-11-4

cuda-compat-11-4

cuda-compiler-11-4

cuda-cudart-11-4

cuda-cudart-dev-11-4

cuda-cuobjdump-11-4

cuda-cupti-11-4

cuda-cupti-dev-11-4

cuda-cuxxfilt-11-4

cuda-demo-suite-11-4

cuda-documentation-11-4

cuda-driver-dev-11-4

cuda-drivers

cuda-drivers-470

cuda-drivers-fabricmanager

cuda-drivers-fabricmanager-470

cuda-gdb-11-4

cuda-gdb-src-11-4

cuda-libraries-11-4

cuda-libraries-dev-11-4

cuda-minimal-build-11-4

cuda-nsight-11-4

cuda-nsight-compute-11-4

cuda-nsight-systems-11-4

cuda-nvcc-11-4

cuda-nvdisasm-11-4

cuda-nvml-dev-11-4

cuda-nvprof-11-4

cuda-nvprune-11-4

cuda-nvrtc-11-4

cuda-nvrtc-dev-11-4

cuda-nvtx-11-4

cuda-nvvp-11-4

cuda-profiler-api-11-4

cuda-runtime-11-4

cuda-samples-11-4

cuda-sanitizer-11-4

cuda-toolkit-11-4

cuda-toolkit-11-4-config-common

cuda-toolkit-11-config-common

cuda-toolkit-config-common

cuda-tools-11-4

cuda-visual-tools-11-4

libcublas-11-4

libcublas-dev-11-4

libcufft-11-4

libcufft-dev-11-4

libcurand-11-4

libcurand-dev-11-4

libcusolver-11-4

libcusolver-dev-11-4

libcusparse-11-4

libcusparse-dev-11-4

libnpp-11-4

libnpp-dev-11-4

libnvidia-cfg1-430

libnvidia-cfg1-470

libnvidia-common-430

libnvidia-common-470

libnvidia-compute-430

libnvidia-compute-470

libnvidia-decode-430

libnvidia-decode-470

libnvidia-encode-430

libnvidia-encode-470

libnvidia-extra-470

libnvidia-fbc1-430

libnvidia-fbc1-470

libnvidia-gl-430

libnvidia-gl-470

libnvidia-ifr1-430

libnvidia-ifr1-470

libnvidia-nscq-470

libnvjpeg-11-4

libnvjpeg-dev-11-4

libxnvctrl-dev

libxnvctrl0

nsight-compute-2021.2.5

nsight-systems-2022.1.3

nvidia-compute-utils-430

nvidia-compute-utils-470

nvidia-dkms-430

nvidia-dkms-470

nvidia-driver-430

nvidia-driver-470

nvidia-fabricmanager-470

nvidia-fabricmanager-dev-470

nvidia-headless-430

nvidia-headless-470

nvidia-headless-no-dkms-430

nvidia-headless-no-dkms-470

nvidia-kernel-common-430

nvidia-kernel-common-470

nvidia-kernel-source-430

nvidia-kernel-source-470

nvidia-modprobe

nvidia-settings

nvidia-utils-430

nvidia-utils-470

xserver-xorg-video-nvidia-430

xserver-xorg-video-nvidia-470

CUDA cross-compile package (host)

cuda-cccl-cross-aarch64-11-4

cuda-cross-aarch64

cuda-cross-aarch64-11-4

cuda-cudart-cross-aarch64-11-4

cuda-cupti-cross-aarch64-11-4

cuda-driver-cross-aarch64-11-4

cuda-nsight-compute-addon-l4t-11-4

cuda-nvcc-cross-aarch64-11-4

cuda-nvml-cross-aarch64-11-4

cuda-nvrtc-cross-aarch64-11-4

cuda-nvtx-cross-aarch64-11-4

cuda-profiler-api-cross-aarch64-11-4

libcublas-cross-aarch64-11-4

libcudla-cross-aarch64-11-4

libcufft-cross-aarch64-11-4

libcurand-cross-aarch64-11-4

libcusolver-cross-aarch64-11-4

libcusparse-cross-aarch64-11-4

libnpp-cross-aarch64-11-4

nsight-compute-addon-l4t-2021.2.5

Computer Vision – VPI (host)

libnvvpi2

python3.8-vpi2

python3.9-vpi2

vpi2-cross-aarch64-l4t

vpi2-demos

vpi2-dev

vpi2-samples

Developer Tools

nsight-systems-2022.3.3

nsight-compute-addon-l4t-2022.2.1

nsight-compute-2022.2.1

nsight-graphics-for-embeddedlinux-2022.3.0.0

cuda-cupti-cross-aarch64-11-7

cuda-sanitizer-11-7

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