In my previous post I talked about how to build some Docker containers to run a deep learning-focused1 JupyterHub instance.

It’s nice for several reasons if the JupyterHub server brings itself up when the system starts. Here’s how to do that—an adaptation of this Stack Overflow post.

Create a file at /etc/systemd/system/docker-jupyterhub.service and put the following text into the file.

Description=JupyterHub container

ExecStart=/usr/local/bin/docker-compose start -f /path/to/GPU-Jupyterhub/docker-compose.yml --project-directory /path/to/GPU-Jupyterhub/
ExecStop=/usr/local/bin/docker-compose stop -f /path/to/GPU-Jupyterhub/docker-compose.yml --project-directory /path/to/GPU-Jupyterhub/


Once that file has been created, issue the following command:

sudo systemctl enable docker-jupyterhub.service

Now the JupyterHub server should start when the host computer boots and you won’t have to login to start it manually.

It was a little tricky to find that --project-directory flag, and turns out it’s important to put the start and stop before any other arguments.


  1. ugh [return]