Learn the concept behind AI Training data

Last updated 18th May, 2021.


  • Data relates to any type of files (binary, text, etc.) that you want to use inside AI Training jobs.
  • Object Storage is a scalable, resilient and secure storage place accessible from anywhere through HTTPS APIs. It is a perfect place to store static files on the long term.
  • Volumes are filesystems storage units mounted and used inside AI Training jobs.

Best practices

OVHcloud Object Storage should be used to persist any data needed by AI Training jobs.

There are two ways to manage your data:

How it works

AI Training jobs can read and write data from and to the OVHcloud Object Storage. Here is what is happening under the hood :

  1. Before the job start, data is synchronized from the object storage into an underlying filesystem volume. This synchronization is done during the INITIALIZING phase.
  2. At the job start, the volume is attached inside the wanted directory. Data is then available inside the job as long as the RUNNING phase lasts.
  3. After the job stop, data is synchronized back from the underlying filesystem volume into the OVHcloud Object Storage. This synchronization is done during the FINALIZING phase.



Access rights

Users can give 2 different access rights on Filesystem volumes attached on jobs :

  • Read Only (shorten by ro) : The job will only be able to read data (writing is forbidden)
  • Read Write (shorten by rw) : The job will have full access

Volumes that are in a read only mode are not synchronized with the object storage during the FINALIZING phase because there is no point synchronizing data that have not changed during a job life.

Volume caching and sharing

By default filesystem volumes are created and deleted on the fly for each job needing it.

User can enable a cache feature that allow jobs to re-use available volumes instead of creating a new one each time. That feature serves several purposes :

  • Reducing synchronization time for data that have already been downloaded before.
  • Sharing same volumes between several jobs.

Unused volume data are regularly deleted. User should not rely on this cache feature for long time persistence.

Going further


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