Accessing JupyterLab

Connect from your browser (recommended) or from VS Code.

JupyterLab runs on your instance and listens on port 8888 by default. Keep it private. Use SSH port-forwarding.

Start an instance

Pick JupyterLab as the Operating System.

Secure the instance

Do this before you run any public-facing services:

• Securing Your Instance

Do not open port 8888 to the internet. Prefer SSH tunneling.

Connect from your browser (recommended)

1) Create an SSH tunnel

Run this on your laptop/desktop:

ssh -L 8888:localhost:8888 <user>@IP_OF_YOUR_INSTANCE

Keep this SSH session open while you use JupyterLab.

If you use root, the command looks like:

ssh -L 8888:localhost:8888 root@IP_OF_YOUR_INSTANCE

If JupyterLab uses a different port, forward that port instead.

2) Open JupyterLab

Open this URL in your browser:

• http://127.0.0.1:8888/

3) Get the token

Option A: From the Verda console (fastest)

Open the Open JupyterLab link on the instance card. Copy the token=... value from the URL.

Option B: From the instance (Docker)

If you can SSH into the instance, print the running server list. It includes the full token URL.

# SSH into the instance
ssh root@IP_OF_YOUR_INSTANCE

# Find the Jupyter container name or ID
# (it is often named "jupyter")
docker ps

# Print the server list (includes the token URL)
docker exec jupyter jupyter server list

# Or use the container ID
# docker exec <container-id> jupyter server list

You’re looking for a line like:

• http://localhost:8888/?token=...

If Jupyter is running on the host (not in Docker), run this instead:

jupyter server list

(Optional) Connect from VS Code

VS Code connects to the same forwarded URL. Use the Jupyter extension. Then point the kernel URL at:

• http://127.0.0.1:8888

Continue here for the VS Code flow:

• Connecting to Jupyter notebook with VS Code