Shared Persistent Storage
warning
WIP
Shared data volume overview
When you generate a notebook on the Traditional AI/ML journey, a storage account will be automatically mounted as shared data volume.
The shared data volume allows team members to run separate notebooks in AI Platform and use the same files in a dataset.
note
Instructions on how to mount your own shared data volume on a notebook.
Shared data volume characteristics:
- Storage Class:
standard - Access Mode:
ReadWriteMany
Azure storage account
You can access volume details through notebook details.
Notebook details
Access to volume details
Here's a sample Azure storage account:
Best practices
On the shared data volume, create two folders: code and data.
- Under the
codefolder, create folders with each team member's Equinor short name. This is where each member can clone their GitHub repos and work on their own code once they mount the volume with their own notebook servers. - Shared team data can be stored under
datafolder. The directory structure can be determined by the team based on their needs.