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6 апреля 2026 г.8 мин чтения

Docker Tutorial for jetson-containers on Jetson AGX Orin: Beginner's Guide to Docker and Containers in the AI/ML World

Docker Tutorial for jetson-containers on Jetson AGX Orin: Beginner's Guide to Docker and Containers in the AI/ML World
В этой статье

Learn how to use Docker and containers for AI/ML development on Jetson AGX Orin.

Introduction

Docker is a popular open-source platform that simplifies the process of deploying, managing, and scaling containerized applications. It allows developers to package their code into lightweight containers that can be easily moved from one environment to another.

This tutorial will guide you through setting up Docker on your Jetson AGX Orin board, creating a Dockerfile for AI/ML models, building the model in a container, and deploying it to a cloud platform like AWS SageMaker or Google Cloud Platform.

Prerequisites

  • Jetson AGX Orin development board (or any other compatible Jetson board)
  • A computer with an operating system that supports Docker: Ubuntu 18.04, Debian Buster, CentOS 7, or Red Hat Enterprise Linux 7
  • Python 3.6+ installed on the computer used for creating the Dockerfile and running the container.

Setting up Docker on Jetson AGX Orin Board

To set up Docker on your Jetson AGX Orin board, follow these steps:

  1. Install a compatible Linux distribution like Ubuntu 18.04 LTS or Debian Buster (for ARM architecture) on the Jetson board.
  2. Download and install Docker Desktop for Linux from the official website here. After installation, restart your computer to apply changes.

    For Debian Buster users:

    • Install apt-transport-https package (for TLS security)
    • Run the following command in terminal: sudo update-alternatives --install /usr/bin/docker docker.io/registry/docker https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable
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Теги

#Docker#containers#AI/ML#Jetson AGX Orin