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Jetson AGX Thor📖
1.Get started
  • 01.Learning Route
  • 02.Getting Started Quickly
2.Jetson basic course
  • 01.Jetson board introduction
  • 02.Flashing a Pure Jetson System via SDK
  • 03.Flashing a Pure Jetson System via USB Drive
  • 04.Flashing the Jetson Bootloader using L4T
  • 05.Replacing the SSD
  • 06.Install Jetpack environment
  • 07.Backup SSD system
  • 08.Restore factory image system
  • 09.SSD expansion
  • 10.SSD Speed Test
3.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
4.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
5.Vision basic course
  • 01.USB camera preview
  • 02.Use Jupyter Lab
  • 03.Use JetCam
6.Vision advanced course
01.Environment construction
  • 01.TensorFlow
  • 02.PyTorch
  • 03.Torchvision
  • 04.Torchaudio
02.DeepStream development
  • 01.DeepStream environment
  • 02.Four types of detection(traffic)
03.YOLO26 development
  • 01.YOLO Environment Setup
  • 02.CLI Usage
  • 03.Object Detection
  • 04.Instance Segmentation
  • 05.Pose Estimation
  • 06.Image Classification
  • 07.Oriented Bounding Boxes 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
7.Docker basic course
  • 01.Docker introduction
  • 02.Docker installation
  • 03.Docker command
  • 04.Docker usage
  • 05.Docker interaction
8.ROS2-jazzy
1.ROS2 basic course
  • 1.Introduction to ROS2
  • 2.ROS2 install Jazzy
  • 3.ROS2 development environment
  • 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
2.ROS2 vision course
  • 01.Camera preview (USB)
  • 02.Camera calibration (USB)
  • 03.AR vision (USB)
9.Offline AI model course
Offline large model (Text Interaction)
  • 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
  • 10.AI large model offline voice assistant
10.Online AI model course
Online large model (Text Interaction)
  • 1.OpenRouter large model API aggregation platform
  • 2.Multimodal Video Analysis Applications
  • 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
  • 8.AI large model offline voice assistant
11.Generative AI Applications
12.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
  • 18.OpenClaw Voice Assistant
Download
  • Code
  • SystemFile
  • VM_File
  • Tools
  • Jetson boot files
Download ZIP

Welcome to Jetson AGX Thor repository

02.Getting Started Quickly

Quick Start Guide

Quick Start Guide1. Initial Boot1.1 Powering on the Motherboard1.2 Mirror Selection1. Clean System Installation (1TB SSD)2. Factory Image System (1TB SSD)3. Factory Image System (2TB SSD)2.1. Basic Information2.2. Jupyter Lab2.3. Label Studio (Requires Manual Startup)2.4. Accessing Docker2.5. Open WebUI2.6. ComfyUI (Requires Manual Startup)3. Important Notes

1. Initial Boot

The Jetson AGX Thor does not have internal eMMC storage; a solid-state drive (SSD) must be installed. The Jetson AGX Thor comes with a 1TB SSD, but it does not contain an operating system. For first-time use, you must either flash a clean operating system image or flash a bootable SSD and replace it with a factory image.

Clean System Image: Suitable for developers, requiring some development experience and the ability to independently set up the environment! Since the 1TB SSD that comes with the official Jetson AGX Thor does not have an operating system flashed on it, please refer to the "Flashing a Clean Jetson System with SDK" or "Flashing a Clean Jetson System with USB Drive" courses in the "Motherboard Basics" section to flash a clean Jetson system onto the SSD.

Booting the Factory Image: Suitable for beginners; you can experience various examples without setting up your own environment! Because the official Jetson AGX Thor comes with an older bootloader, please refer to the "Burning the Jetson Bootloader with L4T" and "Replacing the SSD" tutorials in the "Motherboard Basics" section. After burning the bootloader, replace the SSD to use the factory image.

1.1 Powering on the Motherboard

The kit includes a Type-C power connector. Both Type-C connectors on the Jetson AGX Thor motherboard can be used for power, but only the one closer to the HDMI port (blue text) can be used for burning the system. Therefore, generally, the Type-C port closer to the QSFP28 connector (red text) is used for power, and the Type-C port closer to the HDMI port (blue text) is used for burning.

The Jetson AGX Thor motherboard will automatically power on by default.

image-20260408174411788

1.2 Mirror Selection

Choose one of the following three options.

1. Clean System Installation (1TB SSD)

  1. Flash Jetson Clean System: This step can be performed either via the SDK Manager or using a USB drive; simply choose one of these two flashing methods. Refer to the corresponding tutorials: [Chapter 2 - Mainboard Basics: Flashing Jetson Clean System via SDK] and [Chapter 2 - Mainboard Basics: Flashing Jetson Clean System via USB Drive].
  2. Install Jetson Component Environment: Refer to the corresponding tutorial: [Chapter 2 - Mainboard Basics: Installing the JetPack Environment].

2. Factory Image System (1TB SSD)

  1. Flash Jetson Bootloader via L4T: Since the bootloader version on the official mainboard does not match the version included in the factory image, you must first flash the bootloader by following the tutorial: [Chapter 2 - Mainboard Basics: Flashing Jetson Bootloader via L4T].
  2. Restore Factory Image System: Follow the tutorial [Chapter 2 - Mainboard Basics: Restoring the Factory Image System] to remove the 1TB SSD, flash the factory image onto it, and then reinstall it.
  3. Expand SSD Storage Capacity: After powering on the device, follow the tutorial [Chapter 2 - Mainboard Basics: Expanding SSD Storage Capacity] to extend the system's usable disk space to cover the entire drive.

3. Factory Image System (2TB SSD)

  1. Flash Jetson Bootloader via L4T: Since the bootloader version on the official mainboard does not match the version included in the factory image, you must first flash the bootloader by following the tutorial: [Chapter 2 - Mainboard Basics: Flashing Jetson Bootloader via L4T].
  2. Replace SSD: Follow the tutorial [Chapter 2 - Mainboard Basics: Replacing the SSD] to swap the 1TB SSD with a 2TB SSD that has the factory image pre-flashed.
  3. Expand SSD Storage Capacity: After powering on the device, follow the tutorial [Chapter 2 - Mainboard Basics: Expanding SSD Storage Capacity] to extend the system's usable disk space to cover the entire drive. ## 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://[Board IP]:8888/

Access Password: yahboom

2.3. Label Studio (Requires Manual Startup)

Host Access: http://localhost:8081/

LAN Access: http://[Board IP]:8081/

Access Account: 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://[Board IP]:8080/

Access Username: yahboom

Access Email: yahboom@163.com

Access Password: yahboom

2.6. ComfyUI (Requires Manual Startup)

Host Access: http://127.0.0.1:8188

 

3. Important Notes

  • Due to software version updates and variations in user environments, we cannot guarantee that every user will be able to successfully set up the environment. However, the one resource we can provide is a complete system image. If you encounter environment-related issues that you are unable to resolve on your own, please use the factory image we provide to follow the tutorials.
Learning Route
Jetson board introduction

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