# Runpod persistent storage: keep files after deleting a Pod

Keep Runpod files after Pod deletion by choosing an independent network volume, checking /workspace and testing recovery from a new environment.

Author: Retrivium team
Updated: 2026-11-01
Canonical URL: https://retrivium.ai/journal/runpod-network-volume-persistence/
Language: en

To retain files after deleting a Runpod Pod, use an independent network volume or export the required data beforehand. An ordinary volume disk survives a stop but is deleted with its Pod. The word persistent is therefore incomplete unless you name the storage type and the action it must survive.

## Identify the resource that outlives compute

A network volume has its own lifecycle. For Pods, the documented option is available in Secure Cloud and must be selected during deployment. Its data centre constrains compatible compute placement; having a volume does not guarantee that the desired GPU is currently available there.

Record the volume ID, location and purpose outside the container. `/workspace` can represent different storage arrangements, so that directory alone does not prove that an independent volume is attached. A replacement Pod with a similarly named empty disk is not the same resource.

## Check the actual write path

Before uploading a large dataset, create a small control file containing a timestamp and a random string. Confirm the application's output directory, cache directory and working directory separately. Relative paths can send results somewhere other than the intended volume.

Commands such as `pwd` and `df -h /workspace` help inspect the working location and filesystem. Cross-check their result with the resource in the console. Do not identify the storage type solely from a familiar capacity or directory label.

## Test a small move

Consider a researcher changing GPUs after editing a dataset. Separate original inputs, irreplaceable edits and recoverable cache. Save the program version and configuration, stop writers, and record a checksum for an important result.

Deploy the next compatible Pod with the intended volume and read the control result there. Run a small application-level check before deleting the original environment. Different volumes in different data centres do not synchronize automatically; a move across that boundary requires a planned copy.

## Maintain storage deliberately

The volume can remain billable without a running GPU. Assign an owner, sufficient funding for storage and a review date. For irreplaceable results, keep an independent backup and test recovery rather than treating one persistent resource as an unlimited archive.

Choose a transfer method supported by your access path and data size. Measure a representative copy before a large move. Your final evidence should include the volume ID, written path and successful read from the next environment, not merely a screenshot of a working notebook.

## Turn the check into a practical next step

Verify the independent volume, actual write path and recovery result. A familiar directory name is not evidence that files survive deletion of the Pod.

For the documented details, consult the [primary documentation](https://docs.runpod.io/storage/network-volumes); [configuration reference](https://docs.runpod.io/pods/storage/transfer-files). Continue with [runpod container volume network disk](/journal/runpod-container-volume-network-disk/) and [runpod terminate pod backup](/journal/runpod-terminate-pod-backup/).