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JetsonAGX
NVIDIA Jetson AGX Thor: Top 5 Use Cases with Tutorials
The NVIDIA Jetson Thor represents a paradigm shift in edge computing for physical AI. Powered by the 2560 Blackwell-based CUDA cores,...
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Table of Contents
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Key Specifications
Use Case 1 Humanoid Robot Control with Isaac GR00T N1.6
Why Thor for Humanoid Robotics?
Architecture Overview
Step-by-Step Setup Tutorial
1. Prerequisites
2. Install JetPack and Flash Thor
3. Setup Isaac ROS Environment
4. Install NVIDIA Container Toolkit
5. Clone Isaac GR00T Repository
6. Download Pre-trained GR00T Model
7. Run GR00T Policy Server
8. Run the Policy Server
9. Client Code to Control Robot
Tutorial Deploy Llama 3.2 Vision 70B on Thor
1. Install vLLM
2. Download Llama 3.2 Vision Model
3. Quantize Model to FP4 (Optional but Recommended)
4. Create vLLM Server
5. Run the Server
6. Test the API
7. Robot Control Integration
Tutorial Deploy 20-Camera Surveillance System
1. Setup GStreamer Pipeline
2. Multi-Camera Capture Script
3. Real-Time Object Detection on All Streams
4. Using Vision Programming Interface (VPI) for Stereo Vision
Performance Benchmarks
Applications
Use Case 4 Autonomous Mobile Robot Navigation with Isaac ROS
Why Thor for AMR Navigation?
Tutorial Deploy SLAM and Navigation
1. Install Isaac ROS Packages
2. cuVSLAM Configuration
3. Launch cuVSLAM
4. Run Navigation Stack
5. Python Navigation Client
Performance
Use Case 5 Video Search and Summarization with Multi-Modal AI
Why Thor for VSS?
Tutorial Build Video Search System
1. Install Dependencies
2. Video Indexing System
3. Video Summarization
Performance
Conclusion
Getting Started Resources
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Index
