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Jetson AGX Orin📖
01.Get started
  • 01.Learning Route
  • 02.Getting Started Quickly
02.Jetson basic course
  • 01.Jetson board introduction
  • 02.Flash new system to the onboard eMMC
  • 03.Flash new system to an NVMe SSD
  • 04.Install Jetpack environment
  • 05.Backup SSD system
  • 06.Restore factory image system
  • 07.SSD expansion
  • 08.Solid State Drive Speed Test
03.Basic setting course
  • 01.Basic knowledge
  • 02.Network configuration
  • 03.SSH remote login
  • 04.VNC remote control
  • 05.Remote file transfer
  • 06.Jtop tool
  • 07.Exchange space expansion
  • 08.Use VSCode
  • 09.Use VMware
  • 10. Change screen resolution
  • 11. Virtual Desktop
  • 12. Set root user password
  • 13. Configure sudo passwordless operation
  • 14. Managing custom services
  • 15. View system version information
04.GPIO control course
  • 01.GPIO description
  • 02.GPIO library installation
  • 03.GPIO reading
  • 04.GPIO output
  • 05.Serial communication
  • 06.I2C communication
05.OpenCV basic course
  • 01.Image reading
  • 02.Image saving
  • 03.Image modification
  • 04.Image scaling
  • 05.Image cropping
  • 06.Image translation
  • 07.Image mirroring
  • 08.Image grayscale conversion
  • 09.Image binarization
  • 10.Image edge detection
  • 11.Add line segments
  • 12.Add rectangles
  • 13.Add circular shape
  • 14.Add ellipses
  • 15.Add polygons
  • 16.Add Text
06.Vision basic course
  • 01.USB camera preview
  • 02.Use Jupyter Lab
  • 03.Use JetCam
07.Vision advanced course
01.Environment construction
  • 01.TensorFlow
  • 02.PyTorch
  • 03.Torchvision
02.DeepStream development
  • 01.DeepStream environment
  • 02.Four types of detection(traffic)
03.YOLO11 development
  • 01.YOLO environment construction
  • 02.CLI use
  • 03.Object detection
  • 04.Instance segmentation
  • 05.Pose estimation
  • 06.Image classification
  • 07.Oriented object detection
  • 08.Model conversion
  • 09.Dataset annotation
  • 10.Model training conversion
  • 11.Model prediction
04.Mediapipe development
  • 01.Mediapipe environment
  • 02.Hand detection
  • 03.Face detection
  • 04.Face effects
  • 05.3D object recognition
  • 06.Virtual brush
  • 07.Gesture recognition
  • 08.Finger control
  • 09.Posture estimation
  • 10.Face mask
  • 11.Overall detection
  • 12.Green scene removal(Human)
05.QR code recognition
  • 01.Barcode Recognition
  • 02.QR Code Recognition
  • 03.Machine Code Recognition
  • 04.Handwritten Digit Recognition
06.YOLO26 development
  • 01.YOLO Environment Setupnew
  • 02.CLI Usagenew
  • 03.Object Detectionnew
  • 04.Instance Segmentationnew
  • 05.Pose Estimationnew
  • 06.Image Classificationnew
  • 07.Oriented Bounding Boxes Object Detectionnew
  • 08.Model Conversionnew
  • 09.Dataset Annotationnew
  • 10.Model Training_Conversionnew
  • 11.Model Predictionnew
08.Docker basic course
  • 01.Docker introduction
  • 02.Docker installation
  • 03.Docker command
  • 04.Docker usage
  • 05.Docker interaction
09.ROS2-Humble
01.ROS2 basic course
  • 3.ROS2 development environment
  • 1.Introduction to ROS2
  • 2.ROS2 install Humble
  • 4.ROS2 workspace
  • 5.ROS2 function package
  • 6.ROS2 node
  • 7.ROS2 topic communication
  • 8.ROS2 service communication
  • 9.ROS2 action communication
  • 10.ROS2 custom interface message
  • 11.ROS2 parameter service case
  • 12.ROS2 meta-function package
  • 13.ROS2 distributed communication
  • 14.ROS2 DDS
  • 15.ROS2 time related API
  • 16.ROS2 common command tools
  • 17.ROS2 rviz2 use
  • 18.ROS2 rqt toolbox
  • 19.ROS2 Launch startup file configuration
  • 20.ROS2 recording and playback tool
  • 21.ROS2 URDF model
  • 22.ROS2 Gazebo simulation platform
  • 23.ROS2 TF2 coordinate transformation
02.ROS2 vision course
  • 01.Camera preview (USB)
  • 02.Camera calibration (USB)
  • 03.AR vision (USB)
10.Offline AI model course
Offline large model (Text Interaction)
  • 10.AI large model offline voice assistant
  • 1.Al large model environment deployment
  • 2.Install large model dialogue platform
  • 3.Meta Al Llama3.2 model
  • 4.Alibaba Cloud Qwen3 model
  • 5.Microsoft Phi-4-mini model
  • 6.DeepSeek DeepSeek-R1 model
  • 7.Alibaba Cloud Qwen2.5v visual multimodal large model
  • 8.Google Gemma3 visual multimodal large model
  • 9.Lava visual multimodal large model
  • 10.MiniCPM-V visual multimodal large model
  • 11.Multimodal visual understand application
  • 12.Multimodal text image application
  • 13.Multimodal video analysis application
  • 14.Multi module visual position application
  • 15.Multimodal table scanning application
  • 16.Multimodal autonomous agent application
Offline large model (Voice Interaction)
  • 0.Voice interaction hardware connection (ReadMe)
  • 1.Offline speech to text (ASR)
  • 2.Offline text to speech (TTS)
  • 3.AI large model voice interaction
  • 4.Multimodal visual understand speech interaction
  • 5.Multimodal text and graphics application
  • 6.Multimodal video analysis application
  • 7.Multi module visual position application
  • 8.Multimodal table scanning application
  • 9.Multimodal autonomous proxy application
11.Online AI model course
Online large model (Text Interaction)
  • 8.AI large model offline voice assistant
  • 1.OpenRouter large model API aggregation platform
  • 2.Multimodal visual understand application
  • 3.Multimodal visual localization application
  • 4.Multimodal table scanning application
  • 5.Multimodal autonomous proxy application
Online large model (Voice Interaction)
  • 0.Voice interaction hardware connection (ReadMe)
  • 1.Online speech to text (ASR)
  • 2.Online text to speech (TTS)
  • 3.AI large model voice interaction
  • 4.Multimodal visual understand speech interaction
  • 5.Multi module visual position application
  • 6.Multimodal table scanning application
  • 7.Multimodal autonomous proxy application
12.Offline Generative AI Applications
  • 01.Children's Storytelling Session
  • 02.Cooking Assistant
  • 03.Homework tutor
  • 04.Image to animation
13.OpenClaw Advanced Development
  • 00.OpenClaw Quick Start on Jetson Platform
  • 01.OpenClaw Installation
  • 02.OpenClaw Online Platform Deployment
  • 03.OpenClaw Local Model Deployment
  • 04.OpenClaw TUI Interaction
  • 05.OpenClaw WebChat Interaction
  • 06.OpenClaw Tools Introduction
  • 07.OpenClawGate Gateway User Manual
  • 08.OpenClaw Features Overview
  • 09.OpenClawClawHub Introduction (Skill Installation)
  • 10. OpenClaw Switching Models
  • 11.OpenClaw Application - File Management
  • 12.OpenClaw Application - Camera
  • 13.OpenClaw Application - Browser Control
  • 14.OpenClaw Application - Script Execution
  • 15.OpenClaw Application - AI Programming
  • 16.OpenClaw Application - Dedicated AI Assistant
  • 17.OpenClaw WhatsApp Plugin Application
Download
  • System_File
  • VM_File
  • Code
  • Tools
Download ZIP

Welcome to Jetson AGX Orin repository

当製品の日本語版マニュアル資料は、こちらからご取得ください。

02.Getting Started Quickly

Quick Start Guide

Quick Start Guide1. First Boot1.1 Instructions for Use1.2 System Booting2. System Environment2.1. Basic Information2.2. Jupyter Lab2.3. Label Studio (Requires manual startup)2.4. Accessing Docker2.5. Open WebUI3. Notes

1. First Boot

Clean System Image: Suitable for developers, requires some development experience, and the environment setup process needs independent problem-solving skills!

Booting the Factory Image: Suitable for beginners, allowing you to experience various examples without setting up your own environment! Since the official Jetson AGX Orin's internal 64GB emMC already comes with an outdated system, it needs to be reconfigured to Jetpack 6.2.1 to use the SSD factory image. Please refer to the tutorial [Chapter 2 Jetson basic course: 02. 02.Flash new system to the onboard eMMC] to burn the Jetpack 6.2.1 system version, power off the device, insert the factory SSD, and power on again to boot from the SSD.

1.1 Instructions for Use

  1. SSD Booting: The Jetson AGX Orin's SSD has higher boot priority than the onboard EMMC. Therefore, as long as the SSD and EMMC have the same system version, plugging in the SSD will boot from it first, and unplugging the SSD will boot from the eMMC. Please refer to the tutorial [Chapter 2 Jetson basic course: 02.Flash new system to the onboard eMMC] to first burn the system version corresponding to the factory SSD, then power off the device, insert the factory SSD, and power on again to boot from the SSD.
  2. SSD Expansion: See Tutorial [Chapter 2 Motherboard Basics: SSD Expansion]
  3. Burning a Clean Jetson System to the Onboard EMMC: See Tutorial [Chapter 2 Jetson basic course: 02.Flash new system to the onboard eMMC]
  4. Burning a Clean Jetson System to an NVMe SSD: See Tutorial [Chapter 2 Motherboard Basics: 03. Flash new system to an NVMe SSD]
  5. Restoring the Factory Image System: See Tutorial [Chapter 2 Motherboard Basics:Restore initial image system]
  6. Installing the Jetson Component Environment: See Tutorial [Chapter 2 Motherboard Basics: Installing the Jetpack Environment]
  7. The Jetson AGX Orin motherboard supports burning a clean Jetson system using SDK Manager, but does not have a SUPER mode.
  8. The Jetson AGX Orin motherboard comes with a built-in wireless network card and antenna.

1.2 System Booting

First, follow the steps in [Chapter 2 Jetson basic course: 02.Flash new system to the onboard eMMC] to burn the system. Then, power off the computer. Next, install the factory-installed SSD onto the Jetson AGX Orin motherboard. Connect the DP cable (to the monitor) and peripherals such as the mouse and keyboard. Use the included power adapter to boot the motherboard system.

The power adapter included with the Jetson AGX Orin official kit has a Type-C interface. Both Type-C ports on the motherboard can be used as power input interfaces. For convenience, generally, the power adapter should be plugged into the Type-C port above the DC power connector. The image below shows a power connection diagram.

image-20260224113549908

By default, the AUTOMATION header on the bottom of the motherboard will appear as shown in the image below. Plug in the power, and the computer will automatically boot into the system.

image-20260224110250372

For other interface connections, please connect according to your needs and the motherboard interface instructions.

image-20260210205227065

image-20260210205405210

Jetson AGX Orin series motherboards require a monitor to display the system desktop correctly. For first-time users, it is recommended to connect an external monitor and configure VNC remote login.

Note: According to user feedback, some users can use a graphics card spoofing tool and virtual desktop to achieve VNC remote login. This is not within the scope of this tutorial!

2. System Environment

2.1. Basic Information

System Username: jetson

System Password: yahboom

Root Password: yahboom

2.2. Jupyter Lab

Host Access: http://localhost:8888/

LAN Access: http://motherboard IP:8888/

Access Password: yahboom

2.3. Label Studio (Requires manual startup)

Host Access: http://localhost:8081/

LAN Access: http://motherboard IP:8081/

Access Username: yahboom@163.com

Access Password: yahboom@163.com

2.4. Accessing Docker

docker run -it ubuntu:18.04 /bin/bash

2.5. Open WebUI

Host Access: http://localhost:8080/

LAN Access: http://motherboard IP:8080/

Username: yahboom

Email: yahboom@163.com

Password: yahboom

3. Notes

  • Due to software version iterations and different user environments, we cannot guarantee that everyone can successfully set up the environment. The only thing we can provide is a complete system image. If users encounter environment problems that they cannot solve themselves, please use the factory image we provide for tutorial learning.
Learning Route
Jetson board introduction

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