[Beginner] Docker Tutorial for jetson-containers on Jetson AGX Orin
Abstract This tutorial explains how to use Docker with the jetson-containers project on an NVIDIA Jetson AGX Orin 64 GB running Ubuntu 22.04 and JetPack 6.2.2, focusing on beginner-friendly concept...
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Source: DEV Community
Abstract This tutorial explains how to use Docker with the jetson-containers project on an NVIDIA Jetson AGX Orin 64 GB running Ubuntu 22.04 and JetPack 6.2.2, focusing on beginner-friendly concepts and commands. It introduces basic container terminology, shows how to safely back up configuration files, and then walks through everyday Docker operations like starting, stopping, rebuilding, and re-running containers. The goal is to give new users a practical, copy‑pasteable reference they can keep open on the Jetson while working with jetson-containers. 1. Basic Concepts: Images, Containers, Volumes For beginners, it helps to understand a few core terms before running commands. Image: A read‑only template that contains an application and its OS-level dependencies (for example, a pre-built PyTorch + CUDA environment for Jetson). Container: A running instance of an image with its own filesystem, processes, and network configuration; you can start, stop, and delete containers without touchi