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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