Sessions
Sessions are JupyterLab, VS Code, or RStudio instances pinned to your team's storage and a chosen compute pool. They're the fastest way onto a GPU on Vantage.
Every session starts from a preset — a template that defines which IDE, images, and compute sizes are available. Pick a preset, choose an image and pod size, configure storage, and launch.
The sessions list
The list view shows everyone's sessions in your workspace. Each row gives you the name, preset, image, pod size, status, owner, and elapsed runtime.
Lifecycle actions — Open, Pause, Resume, Edit, Delete — live on each row's overflow menu and on the detail page. See Lifecycle for what each one does.
Next steps
- Creating a session — wizard walkthrough
- Lifecycle — phases and actions
- Reference — every field, every default
- Presets — the templates that define session options