Learning Objectives
This section helps readers quickly master the installation and configuration process of NVIDIA JetPack 6.2, ensuring the Jetson platform has a complete AI development environment. After completing this section, readers will be able to:
- Understand the components and purposes of the JetPack SDK, including key modules such as CUDA, cuDNN, and TensorRT.
- Follow the complete steps to install JetPack and its dependencies on a Pandora system.
- Verify the installation results and configure a Python development environment.
- Diagnose and resolve common installation issues (e.g., version compatibility, insufficient disk space).
- Build a stable software foundation for subsequent AI development (e.g., machine vision, edge inference).
This document provides practical, hands-on guidance suitable for both beginners and advanced developers to quickly set up a Jetson development environment.
JetPack Installation Guide (Including CUDA, cuDNN, TensorRT, etc.)
NVIDIA JetPack provides a complete Software Development Kit (SDK) that integrates core components such as CUDA, cuDNN, and TensorRT, enabling AI, deep learning, and machine learning applications.
Installation Requirements
- System baseline: Pandora has been flashed successfully (JetPack 6.2 or a compatible version).
- Network: Connected via Wi-Fi or Ethernet with a stable internet connection.
- Disk space: At least 20GB free on the system disk (NVMe SSD). A 128GB or larger SSD is recommended.
- Target platform: Pandora with Jetson Orin Nano (4GB/8GB) or Orin NX (8GB/16GB).
Installation Steps
Step 1: Confirm Network and Update Package Index