Docs

Create and use JupyterLab

Create a JupyterLab session with your choice of CPU, RAM, GPU, and storage.

What is JupyterLab?

JupyterLab is an interactive notebook environment for data analysis, model training, and running Python code. Each session has its own resources and is billed hourly.

Before you start

  • Your account balance must be greater than zero.
  • If you choose a GPU, enough VRAM must be available.

Create a session

  1. Open JupyterLab from the AI menu.
  2. Click Create. If you have no sessions, the empty state shows Create JupyterLab.
  3. Enter a Name with at least 3 characters.
  4. Set the resources with the sliders:
ResourceRange
CPU Cores0.5–16 cores, in 0.5 steps
RAM1–64 GB
GPU VRAM0–24 GB
Storage1–500 GB
Setting GPU VRAM to zero runs the session on CPU only.
  1. Check the Hourly price in the summary.
  2. Click Create.
If the requested VRAM exceeds the available capacity, an error is shown; choose a smaller amount or another GPU.

After creation

After the JupyterLab session created successfully message, you return to the session list. The status starts as Creating and becomes Running when ready. Setup can take about a minute.

Open JupyterLab

When the status is Running:
  1. Open the session.
  2. In Access, copy the JupyterLab URL or click Open in new tab.
  3. Reveal the Access Token with Reveal token and copy it.
  4. Enter the token on the JupyterLab login page.
The access token works like a password. Do not share it.

Resource usage and logs

  • Live usage refreshes CPU, RAM, and VRAM usage every few seconds.
  • Container logs show the environment output.
  • Details shows the status, start time, storage, and hourly price.

Start it again

If the session is Stopped or has Insufficient Balance:
  1. Top up the account if needed.
  2. On the session page, click Start session.
  3. Wait for the status to become Running.

Delete the session

  1. On the session page, click Delete.
  2. Type the session name to confirm.
  3. Confirm the deletion.
Deletion is irreversible and all session data is lost. Download important notebooks and files before deleting.

Billing

The cost is based on the selected resources and billed hourly. See Jupyter billing for details.

Related