- Storing model parameters
- Archiving datasets similar to centralized storage
- Setting up a communal cache for collaborative tasks, akin to a shared cache over a network.
Method A: Create a Volume using Inferless Platform
Here is how you can create a volumeGo to the Volumes
section in your console

Step 1
Click on the Create Volume button
Step 2
After this Volume is created and ready copy theMount Path

Step 3
Use the mount path on your app.py code as shown below :
Step 4
In the model import step, select the Mount Volume to attach
View Volumes
You can also browse the files in your volume by clicking on the Volume Card
Delete Volumes
To delete volumes make sure it’s not attached to any Deployment, You can delete it form the My Volumes page
Method B: Create a volume using Inferless CLI
Use this commandinferless volume
to see all the functions available for volume.

inferless volume create
This command is used to create a volume. Run this command and enter the name of your volume. Once the volume is created you can follow the process and update your volume directly to the inference configuration file(inferenece.yaml
)

inferless volume list
This command allows you to list all the volumes present in your workspace. It will help you to get the ID
of the volume, which is required when you run the inferless volume select
command.

inferless volume select --id
This command allows you to use any volume that you have created using volume’s id
. Run the following command and update the volume
directly on the inference configuration file(inference.yaml
).
