singlefabric
AI DevelopmentContainer Instances

Accessing the Instance

A guide to accessing a container instance after successful creation, including methods like Jupyter, web connection, and SSH.

Introduction

This document describes how to access a container instance after it has been successfully created. The access methods include Jupyter, web connection, and SSH.

Prerequisites

The container instance has been successfully created, and its status is running (Running).

Jupyter Access

  1. Log in to the management console.

  2. In the top navigation bar, click Products and Services > AI Computing Platform > AI Computing Platform to go to its overview page.

  3. In the left navigation bar, select Container Instances. The container instance list page will display by default.

  4. Click Jupyter in the Quick Access column of the specified container instance to jump to the JupyterLab page. For detailed usage of JupyterLab, refer to the JupyterLab Usage Introduction.

    Notice:

    • If you use a custom image to create a container instance, you must ensure that the image file contains the JupyterLab service; otherwise, the JupyterLab page cannot be opened.
    • If you cannot open the JupyterLab page, please check whether the pop-up window blocking function of your browser is disabled.
  5. In the JupyterLab work area, click Other > Terminal to open the terminal, log in to the container instance backend, and enter various commands.

Web Connectivity

  1. On the container list page, click the web link in the Quick Access column of the specified container instance.
  2. A web connection window pops up, where the user can enter /bin/bash and switch to bash as the shell type to get a better shell experience. This means logging in to the container instance backend.

SSH Access

After successfully creating a container instance, you can load the SSH public key of the user's local host and access the container instance from the local SSH. For specific methods, refer to SSH Access to Container Instances.


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