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Persistent volumes on AWS

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With AI Unlimited, you can redeploy your engine for which the state needs to be persisted regardless of container, pod, or node crashes or terminations. This feature requires persistent storage, that is, storage that lives beyond the lifetime of the container, pod, or node. AI Unlimited uses the instance root volume of the instance to save data in the JupyterLab /userdata folder, AI Unlimited database, and configuration files. The data persists if you shut down, restart, or snapshot and relaunch the instance. However, if the instance is terminated, your JupyterLab data and AI Unlimited database are lost, and this could pose problems if running on-the-spot instances, which may be removed without warning. If you want a highly persistent instance, enable the UsePersistentVolume parameter to move the JupyterLab data and AI Unlimited database to a separate volume.

The following recommended persistent volume flow remounts the volume and retains the data:

  1. Create a new deployment with UsePersistentVolume set as New and PersistentVolumeDeletionPolicy set as Retain.
  2. In the stack outputs, note the volume-id for future use.
  3. Configure and use the instance until the instance is terminated.
  4. On the next deployment, use the following settings:
    • UsePersistentVolume set as New
    • PersistentVolumeDeletionPolicy set as Retain
    • ExistingPersistentVolumeId set to the volume-id from the previous deployment

You can relaunch the template with the same configuration whenever you need to recreate the instance with the earlier data.