This quickstart is for Members (end users). If you’re the first person in your org, you’re also the Admin. See the Admin quickstart after completing this flow.
1
Create account
Go to cloud.vessl.ai and create an account. Verify your email to activate your account.

2
Create organization
After logging in, create a new Organization. Optionally, create a Team.

3
Create a shared volume
Go to the Storage tab in the sidebar and click Create new volume. Enter a Volume name and Description to create a shared volume. This volume can be attached to multiple workspaces to share data.

4
Create a workspace
Open the Workspace tab in the sidebar and click New Workspace. Enter a name, choose a small GPU spec for testing.In the Deployment settings step, attach the shared volume you just created. Click Deploy.
You can run Jupyter notebooks directly in this workspace.

5
Explore workspace details

- Connect: In the workspace detail page, open the Connect tab to access using Jupyter (port 8888) or SSH (port 22). See Connect.
- Details: view GPU, volumes, image and other specs.
- Logs: view container logs in real time.
- Metrics: monitor CPU/GPU/Memory graphs.
6
Run code in JupyterLab
In the workspace detail page, open the Connect tab and click JupyterLab.
In JupyterLab, create a If the output prints successfully, your environment is ready.

Notebook → Python 3 (ipykernel). Run the following code:7
Clean up
To avoid charges: go to the Workspace tab in the sidebar, stop a running workspace from the kebab menu, and confirm Pause Workspace and Terminate to completely delete the workspace.
To permanently remove a workspace: Click Terminate from the kebab menu and confirm by typing the workspace name and clicking Delete.

