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NVIDIA® Jetson AGX Orin 32GB H01 Kit

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Please note, the following updates were made to the product on November 25, 2024:

  1. The 5V power supply scheme has been changed (the power IC was replaced from ONNCP3020ADR2G to TI TPS53015DGS, and the peripheral components have been adjusted accordingly), which resolves the issue of device rebooting when using certain USB devices with high dynamic current.
  2. The board layout has been optimized to enlarge the slot for the fan cable to accommodate the fan wiring.
  3. To stabilize accessory supply, the WiFi module model has been changed from 8265.NGW to BL-M8822CP1, and the software drivers have been updated accordingly.

This wiki will guide you how to install JetPack to Jetson AGX Orin 32GB H01 Kit.

Prerequisites​

  • Ubuntu Host PC (native or VM using VMware Workstation Player)
  • Jetson AGX Xavier H01 Kit
  • USB Type-C data transmission cable

Enter Force Recovery Mode​

  • Step 1: There is a recovery button on the board, which is in the middle of the three buttons as shown in the below picture. Hold the recovery button and then connect the board to the power supply to enter force recovery mode.
  • Step 2: Connect Jetson AGX Orin 32GB H01 Kit with the Ubuntu host PC with a USB Type-C data transmission cable

Download the peripheral drivers​

First of all, you need to install the peripheral drivers for this board. These are needed for some hardware peripherals to function on the board. Click the below links to download the drivers according to the JetPack version

JetPack VersionL4T VersionDownload Link
5.0.235.1Download
5.1.135.3.1Download
6.036.3Download
6.136.4Download

Flash to Jetson​

Here we will use NVIDIA L4T 35.1 to install Jetpack 5.0.2 on the Jetson AGX Orin 32GB H01 Kit.

  • Step 1: Download the NVIDIA drivers on the host PC. The required drivers are shown below:
  • Step 2: Move the downloaded peripheral drivers from before into the same folder with NVIDIA drivers. Now you will see three compressed files in the same folder.
  • Step 3: Extract Jetson_Linux_R35.1.0_aarch64.tbz2 and Tegra_Linux_Sample-Root-Filesystem_R35.1.0_aarch64.tbz2 by navigating to the folder containing these files and apply the changes
cd <directory_where_the_files_are_located>
tar xf Jetson_Linux_R35.1.0_aarch64.tbz2
cd Linux_for_tegra/rootfs
sudo tar xfp ../../Tegra_Linux_Sample-Root-Filesystem_R35.1.0_aarch64.tbz2
cd ..
sudo ./apply_binaries.sh
  • Step 4: Extract AGX-Orin-32GB-H01-JP5.0.2.zip. Here we additionally install the unzip package which is needed to decompress the .zip file
cd ..
sudo apt install unzip 
unzip AGX-Orin-32GB-H01-JP5.0.2.zip

Here it will ask whether to replace the files. Type A and press ENTER to replace the necessary files

  • Step 5: Flash the system to the eMMC
cd Linux_for_Tegra
sudo ./flash.sh jetson‐agx‐orin‐devkit mmcblk0p1

You will see the following output if the flashing process is successful

Developer Tools​

Pre-installed Jetpack for fast development and edge AI integration​

Jetson Software begins with NVIDIA JetPack™ SDK which provides a full development environment and includes CUDA-X accelerated libraries and other NVIDIA technologies to kickstart your development. JetPack includes the Jetson Linux Driver package which provides the Linux kernel, bootloader, NVIDIA drivers, flashing utilities, sample filesystem, and toolchains for the Jetson platform. It also includes security features, over-the-air update capabilities, and much more.

Computer Vision and embedded machine learning​

  • Deepstream delivers a complete streaming analytics toolkit for AI-based multi-sensor processing and video and image understanding on Jetson.
  • TAO, built on TensorFlow and PyTorch, is a low-code version of the NVIDIA TAO framework that accelerates the model training
  • alwaysAI: build, train, and deploy computer vision applications directly at the edge of reComputer. Get free access to 100+ pre-trained Computer Vision Models and train custom AI models in the cloud in a few clicks via enterprise subscription. Check out our wiki guide to get started with alwaysAI.
  • edge impulse : the easiest embedded machine learning pipeline for deploying audio, classification, and object detection applications at the edge with zero dependencies on the cloud.
  • Roboflow provides tools to convert raw images into a custom-trained computer vision model of object detection and classification and deploy the model for use in applications. See the https://docs.roboflow.com/inference/nvidia-jetson for deploying to NVIDIA Jetson with Roboflow.
  • ultralytics yolo: use transfer learning to realize few-shot object detection with YOLOv5 which needs only a very few training samples. See our step-by-step wiki tutorials.
  • Deep Learning: optimize your models on NVIDIA Jetson Nano. Check here at Deci of Automatically Benchmark and Optimize Runtime Performance on NVIDIA Jetson Nano and Xavier NX Devices

Speech AI​

  • Riva is a GPU-accelerated SDK for building Speech AI applications that are customized for your use case and deliver real-time performance.

Remote Fleet Management​

Enable secure OTA and remote device management with allxon. Unlock 90 days free trial with code H4U-NMW-CPK.

Robot and ROS Development​

  • NVIDIA Isaac ROS GEMs are hardware-accelerated packages that make it easier for ROS developers to build high-performance solutions on NVIDIA hardware. Learn more about NVIDIA Isaac.
  • Cogniteam Nimbus is a cloud-based solution that allows developers to manage autonomous robots more effectively. Nimbus platform supports NVIDIA® Jetson™ and ISAAC SDK and GEMs out-of-the-box. Check out our webinar on connecting your ROS Project to the Cloud with Nimbus.

Tech Support & Product Discussion​

Thank you for choosing our products! We are here to provide you with different support to ensure that your experience with our products is as smooth as possible. We offer several communication channels to cater to different preferences and needs.

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