JetPack 5.1 with Jetson Linux 35.2.1 Released

We are very pleased to announce that JetPack 5.1 is now released!

JetPack 5.1 is a production release with added support for Jetson Orin NX 16GB production module. It also supports Jetson AGX Orin 32GB, Jetson AGX Orin Developer Kit, Jetson AGX Xavier series, Jetson Xavier NX series as well as Jetson AGX Xavier Developer Kit and Jetson Xavier NX Developer Kit.

JetPack 5.1 includes Jetson Linux 35.2.1 with new security and OTA features as well as enhancements for Multimedia, Camera and Display. Below are the top highlights for JetPack 5.1. Please refer to JetPack 5.1 page for full lists of features:

  • Adds support for Jetson Orin NX 16GB production module
  • Security
  • Over The Air Updates:
    • Image Based OTA tools with A/B support to upgrade Jetson AGX Xavier or Jetson Xavier NX modules running JetPack 4.x releases
    • Image Based OTA tools to upgrade Jetson Orin modules will be released with the next release
  • Display
    • Fixes for HDMI 2.0 and DP compliance
  • Camera
    • Support for AR1335 YUV camera
    • Enhanced support for simultaneous V4l2 and Argus
    • New Argus Demosaic (argus_demosaicOutput sample) to output RGB supported on Orin
    • New Argus RAW reprocessing (syncStereoRawReprocess sample) to read Bayer raw images from file & provide reprocessed YUV output to file
    • Updated Argus SyncSensorCalibrationData extension with enhanced EEPROM Calibration data to support Camera Module Serial Number, and IMU Noise Parameters
  • MultiMedia
    • TAQ( Temporal Adaptive Quantization) support is extended to H264 encoder

JetPack 5.1 Components:

  • Jetson Linux 35.2.1
  • CUDA 11.4.19
  • TensorRT 8.5.2
  • cuDNN 8.6.0
  • VPI 2.2
  • OpenCV 4.5.4
  • Vulkan 1.3
  • Nsight Systems 2022.5
  • Nsight Graphics 2022.6
  • Nsight DLD/Compute 2022.2

To upgrade from previous JetPack 5 Releases:

To upgrade from previous JetPack 5 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 encounter an error, 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 -s A_reserved_on_user 67.9MB 101MB

Please select “Ignore” when prompted and “ext2” as the file system type.

Resources:

Note: Some of the links in Jetson Linux 35.2.1 page in Downloads section do not follow the normal convention. For example: https://developer.nvidia.com/downloads/r35releasev21-sources-ubuntufocal-l4taarch64srctbz2

Instead of

https://developer.nvidia.com/downloads/r35_release_v2.1/sources/ubuntu_focal-l4t_aarch64_src.tbz2

This is due to an issue in our posting tool and we plan to fix it within a week so that our links can follow the convention as before.

Update:

We found an issue when installing JetPack using SDK Manager where Jetson Multimedia installation was not succesfull. We have fixed the issue.
If you had already tried JetPack 5.1 installation using SDK Manager, please uninstall JetPack 5.1 using the SDK Manager menu in the left-bottom in the SDK Manager main GUI. Then close and re-open the SDK Manager, download and install JetPack 5.1 again.

Also note that the nvidia-jetpack metapackage is now avaialable in the APT repo. If you want to install JetPack after installing Jetson Linux 35.2.1 using APT, then just follow the familiar commands:

sudo apt update
sudo apt install nvidia-jetpack

Update:

Most of the containers for JetPack 5.1 are also up on NGC, except Tensorflow, Pytorch and ML container.

The ML containers for JetPack 5.1 have been published on NGC here:

nvcr.io/nvidia/l4t-ml:r35.2.1-py3
nvcr.io/nvidia/l4t-pytorch:r35.2.1-pth2.0-py3
nvcr.io/nvidia/l4t-tensorflow:r35.2.1-tf2.11-py3