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GPU instances are ephemeral — delete one and the data goes with it. Use storage volumes to persist code, datasets, and model weights across deploys. Pay for compute only when you need it.

1. Create a storage volume

2. Deploy with the volume attached

The volume is mounted at /workspace/.

3. Set up your environment

Store model weights on the volume to avoid re-downloading:

4. Upload and download files

5. Tear down (data persists)

6. Resume later

Your code, models, and data are exactly where you left them at /workspace/.

Manage volumes

Tips

  • Keep model weights on the volume — a 70B model takes 30+ minutes to download but loads from the volume in seconds.
  • The ubuntu-devbox template includes CUDA, Python, git, and common CLI tools.
  • Volumes are billed separately from instances — check runcrate billing usage for a breakdown.
  • Use runcrate billing balance to check credits before deploying.

Cleanup