The Restore feature in VoltageGPU allows you to restore backups of your data into running pods. Learn how to recover your training checkpoints, models, and datasets.
This option allows you to select a backup from a running pod and restore it to a target pod.
The restore path must be a subdirectory of the target pod's volume path.
This option allows you to select a backup during the pod deployment process.
Restoring during deployment is perfect for quickly spinning up a new pod with all your previous work already in place.
The restore path is the directory where the backup ZIP file will be extracted. It must be a subdirectory of the pod's local volume mount path (default: /root).
/root # Entire volume mount (restores everything)
/root/models # Subdirectory of /root volume mount
/root/checkpoints # Training checkpoints directory
/root/project/data # Nested subdirectory of /root/home/user/documents # Not under /root volume mount path
/tmp/backup # Temporary directory, not persistent storage
/var/log # System directory outside volume mount
/mnt/external # External volumes (use /root for restores)Valid paths are subdirectories within your local volume mount (/root), ensuring data persists and is accessible for restore operations. Invalid paths point to non-persistent storage or system directories, which can cause restore failures.
To view the history of all restore operations for a pod:
The restore history shows:
Before restoring, check the backup details to ensure it contains the data you need.
Restore to specific directories rather than /root to avoid overwriting existing files.
Ensure the target pod has sufficient storage space for the restored data.
Verify that restored files are accessible and your applications work correctly.
Yes! Backup restoration is not tied to specific pods. You can restore any backup to any pod with sufficient storage space.
Files from the backup will be extracted to the restore path. Existing files with the same names will be overwritten.
Restore time depends on the backup size and network speed. Small backups restore in seconds, while large backups may take several minutes.
Yes, but be cautious. Restoring while applications are running may cause conflicts if they're accessing the same files being restored.
Check the restore history for error details. Common issues include insufficient storage space or invalid restore paths. The original backup remains intact.
Yes, you can restore multiple backups sequentially. Use different restore paths to avoid overwriting data from previous restores.
Recover your training checkpoints and models in minutes.