AI Training - Tutoriel - Se connecter à VS Code à distance (EN)

Last updated 1st September, 2022.

Objective

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

Requirements

• an AI Training project created inside a Public Cloud project
• a user for AI Training
• installing the OVHcloud AI CLI

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>@gra.training.ai.cloud.ovh.net

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

Click on the Remote Explorer Button.

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

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

Enjoy.

Go further

• Check how to run Tensorflow code with GPUs here.
• You can compare AI models based on resource consumption, accuracy and training time. Refer to this tutorial.

Feedback

Please send us your questions, feedback and suggestions to improve the service:

• On the OVHcloud Discord server

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