AI Training - Manage Docker registries
Learn how to add your own registry to AI Training via UI
Last updated 20th April, 2021.
Objective
This guide covers the process of adding a private registry to the AI Training service.
Requirements
- a Public Cloud project
- credentials for the Docker registry you wish to add
- access to the OVHcloud Control Panel
Instructions
Step 1: Going to the AI Training menu
Log in to the OVHcloud Control Panel, go to the Public Cloud section, then to the AI Training section which is located under AI & Machine Learning.
From the dashboard you can add your Docker registry by clicking Private Docker Registry > Add button.
Step 2: Adding the registry
To add a registry you simply need to provide the credentials of your registry along with its URL.
Once the form is filled out click Add.
Step 3: Submitting an image from your registry
Once your registry is added you can use any images pushed on the registry for your jobs.
From the OVHcloud Control Panel while submitting a job, you can choose a custom Docker image in Step 7.
With the ovhai command line CLI simply provide the image with ovhai job run <image>.
The default shared registry remains available even with a private registry added.
Going Further
- You can check the official documentation about how to submit a job
- You can check out the documentation about the
ovhaiCLI - You can check out the documentation about how to setup the
ovhaiCLI
Feedback
Please send us your questions, feedback and suggestions to improve the service:
- On the OVHcloud Discord server
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