Storage OptionsΒΆ
Storage on the CoSTAR cluster is designed for active computing, not long-term archiving. Choosing the correct location for your scripts, temporary scratch files, and massive datasets ensures your jobs run as fast as possible.
Select a topic below to learn how to manage your data effectively:
Learn about the different storage areas (Home vs. Scratch), check your space limitations, and understand file retention policies.
Learn how to move files to and from the cluster using Open OnDemand, scp, rsync, or SFTP tools.
Practical guides on how to browse, edit, and manage your files using the terminal or graphical tools like VS Code.
Best practices for handling, sharing, and storing larger datasets required for AI and machine learning workflows.
Important
No automatic backups:
Cluster storage is highly performant but is generally not backed up. You are responsible for transferring your critical results and final datasets off the cluster for safe keeping.