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AI Training - Tutorial - Connect to VSCode via remote

Stephanie R.
Updated

This tutorial covers the process of starting a job using Visual Studio Code Remote via SSH.

 

Requirements

NOTE: The deployed image needs to contain the bash binary and a glibc-based Linux (Ubuntu / Debian).

 

Installation

  1. Install an OpenSSH-compatible SSH client if one is not already present.
  2. Install Visual Studio Code.
  3. Install the Remote Development extension pack.

 

Start a job with the SSH feature

We will launch a job with the CLI, just choose the number of GPUs (<nb-gpus>) to use on your job and use the following command:

ovhai job run --gpu <nb-gpus> -s ~/.ssh/id_ed25519.pub ovhcom/ai-training-tensorflow:2.3.0

Once the job is Running, you can see the sshUrl with job get:

ovhai job get <job-id>

 

Configure VSCode Remote Development

Verify you can connect to the SSH host by running the following command from a terminal / PowerShell window replacing user\@hostname accordingly:

ssh <job-id>@us-east-va.ai.cloud.ovh.us

Welcome to OVHcloud AI Training Jobs SSH
job-0d916855-1cd4-4b66-8803-b4782bc13902:~$

Click on the Remote Explorer Button.

PaaS_AI_training_connectVScode01.png

Then click on the + button to add an SSH server.

PaaS_AI_training_connectVScode02.png

Then click on the window icon near your server in the list.

PaaS_AI_training_connectVScode03*.png

Enjoy.

PaaS_AI_training_connectVScode04.png

 

Go further

  • You can compare AI models based on resource consumption, accuracy, and training time. Refer to this tutorial.

For more information and tutorials, please see our other AI & Machine Learning support guides or explore the guides for other OVHcloud products and services.

If you need training or technical assistance to implement our solutions, contact your sales representative or click on this link to get a quote and ask our Professional Services experts for a custom analysis of your project.

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