> For the complete documentation index, see [llms.txt](https://ai-docs.fptcloud.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ai-docs.fptcloud.com/fpt-gpu-cloud/gpu-container/tutorials/how-to-manage-storage.md).

# How to Manage storage?

#### Persistent Disk

GPU Container provides High-Performance Storage (HPS) remaining for the duration of a container’s life. It functions similarly to a hard disk, allowing you to store data that needs to be retained even if the container is stopped.

Key characteristics:

* Available until the container is deleted permanently.
* Prevent data loss by storing data, models, or files that need to be preserved across container restarts or reconfigurations.

#### Temporary Disk

Temporary disk (NVMe) is a type of storage that provides temporary storage for a container. Any data stored on the temporary disk will be lost when the container is stopped or deleted so make sure to back up important data before shutting down your container.

#### Storage type comparision

|                      | **Temporary Disk**                              | **Persistent Disk**                            |
| -------------------- | ----------------------------------------------- | ---------------------------------------------- |
| **Data persistence** | Lost on stop/ restart                           | Retained until container deletion              |
| **Lifecycle**        | Tied directly to the container’s active session | Tied to the container’s lease period           |
| **Performance**      | Fastest (locally attached)                      | Reliable, generally slower than temporary disk |
| **Capacity**         | Fixed according to the selected GPU instance    | Selectable at creation                         |
| **Cost**             | FREE                                            | Refer to ai.fptcloud.com/pricing               |
| **Best for**         | Temporary session data, cache                   | Persistent application data, models, datasets  |


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