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Documentation Index

Fetch the complete documentation index at: https://docs.cloud.vessl.ai/llms.txt

Use this file to discover all available pages before exploring further.

Workspaces work from the CLI too. Create, list, SSH into, pause, and terminate workspaces from your terminal with vesslctl workspace. See the CLI cheat sheet for a one-page command reference, or vesslctl workspace for the full flag reference.
Workspace lets you instantly run a containerized environment with GPU and CPU resources for ML development. In a workspace, you can run code using JupyterLab or connect using SSH.
  • Start quickly without complex infrastructure setup
  • Choose resources and launch instantly
  • Pause to preserve the environment at lower cost, or Terminate to stop billing
Workspace tab listing running and paused environments with their resources and cost