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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.
Sign up on VESSL.
2

Complete your profile

After verifying your email, enter your ID (username), select your Occupation and Use case. Check the required boxes to agree to the Terms of Service and confirm your age, then click Let’s get started!
Complete profile on VESSL.
3

Create organization

Enter your organization name and click Create to set up your workspace.
Create organization on VESSL.
4

Explore the dashboard

After creating your organization, you’ll land on the main Workspaces dashboard. This is where you can manage all your compute environments.
Main dashboard on VESSL.
5

Register payment method

Before creating workspaces, register a payment method. Go to Organization > Billing in the sidebar. Click Manage payment method to add your card, then use Add credits to top up your credit balance.
Billing page on VESSL.
6

Create a shared volume

Go to the Object 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.
Create new volume on VESSL.
7

Create a workspace

Open the Workspace tab in the sidebar and click New Workspace. Enter a name, choose a small resource spec for testing.In the Deployment settings step, attach the shared volume you just created. Click Deploy.
Create a workspace on VESSL.
You can run Jupyter notebooks directly in this workspace.
8

Explore workspace details

Workspace details on VESSL.
  • 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.
9

Run code in JupyterLab

In the workspace detail page, open the Connect tab and click JupyterLab.
Workspace connect page on VESSL.
In JupyterLab, create a Notebook → Python 3 (ipykernel). Run the following code:
print("Hello, VESSL!")
If the output prints successfully, your environment is ready.
To connect with SSH instead, follow Connect to generate/select an SSH key and copy the SSH command.
10

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.
Pause and terminate workspace on VESSL.
Paused workspaces incur storage charges (for example, $0.0070/hr per 50GB for a workspace volume). Terminated workspaces incur no cost. Data in temporary storage is not preserved when paused.
To permanently remove a workspace: Click Terminate from the kebab menu and confirm by typing the workspace name and clicking Delete.