Connect to JupyterLab

When you start a Deep Learning VM Images instance, a JupyterLab session is initialized.

To set up SSH port forwarding, complete the following steps, and then access your JupyterLab session through a local browser:

1. Run the following command by using the Google Cloud CLI in your preferred terminal or in Cloud Shell:

   gcloud compute ssh \
       --project PROJECT_ID \
       --zone ZONE \
       INSTANCE_NAME \
       -- -L 8080:localhost:8080

   Replace the following:

   • PROJECT_ID: your Google Cloud project ID
   • ZONE: the zone where your instance is located
   • INSTANCE_NAME: the name of your instance

Note: If using Cloud Shell to run the command, add a -4 to the SSH flags to use IPv4 to connect. Example: -- -4 -L LOCAL_PORT:localhost:REMOTE_PORT

1. Access your JupyterLab session through a local browser:

   • If you ran the command on your local machine, visit https://localhost:8080 to access JupyterLab.

   • If you ran the command using Cloud Shell, access JupyterLab through the  Web Preview on port 8080.

Troubleshooting

Symptom: When using SSH port forwarding to connect to JupyterLab, you are unable to connect to the instance.

Problem: You are trying to connect to the wrong TCP socket.

Solution:

• On some Linux clients, the localhost resolves to the IPv6 loopback address (::1). Check this by using ping -c 1 localhost. If this command returns the IPv6 address, use -L 8080:127.0.0.1:8080 (rather than -L 8080:localhost:8080) in the gcloud compute ssh command.

• Ensure that you connect to http://localhost:8080 (instead of https://localhost:8080) on your local client.