Why VESSL Cloud
- Instant: launch GPU instances with JupyterLab and SSH in a few clicks
- Consistent: Docker-based images ensure identical environments across teams and projects
- Scalable: scale GPU specs or count as needed; pause or terminate when done
- Collaborative: share data and models with team volumes
- Cost visibility: clear billing states for running, paused, and terminated workspaces
Quickstart
Create your first Workspace in minutes.
Organization
Admin scope, policies, billing, responsibilities.
Team
Collaboration model and shared resources.
Workspace (Run GPU instances)
GPU/CPU containers and cost controls.
vesslctl CLI
Manage everything from your terminal — workspaces, batch jobs, storage, and more.
More in introduction
Roles & permissions
Admin vs Member responsibilities and scopes.
Cluster
GPU/CPU execution environments for workspaces.
Storage
Cluster storage vs Object storage.
Billing
Credit model and cost states.