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Running Jupyterlab

JupyterLab is an interactive development environment that combines code execution, documentation, and collaboration features to facilitate data analysis, prototyping, and software development workflows.

In this tutorial we're going to: - Create a security group with traffic rules - Create a new instance - Install NVIDIA drivers - Install miniconda3 - Install Jupyterlab

Creating a new security group for Jupyterlab.

We will create a new security group with traffic rules to allow traffic to our Jupyterlab instance.

Go to the security groups view of the network section Security groups.

  1. Press Create Security Group
  2. Name the security group "jupyter-hub" and add a fitting description
  3. Press Create Security Group
  4. Locate your newly created security group in the overview and press "Manage Rules".
  5. Press Add rule


  1. Fill in the form according to the picture and click add.

Creating the instance

To create the new instance, go to the instance view of the dashboard.

  1. Press Launch instance
  2. In the Source tab select "Image" and the boot source
  3. Select the Ubuntu-22.04 image
  4. Set the volume size to a minimum of 40GB and increase it according to the demands of your installation.
  5. As the flavor select any gpu flavor, starting with eg1.
  6. Select a network, to give the instance a public IP address use the external network
  7. Select a key pair, this key pair will be used to SSH into the machine
  8. Add the jupyter-hub security group
  9. Press "Launch Instance"
  10. Wait until instance reaches running status.

Connect to your instance

Open your terminal and enter the following:

ssh [ubuntu]@[Instance Public IP Address]

Once you've connected to your instance you can proceed to update it:

sudo apt update &&
sudo apt -y upgrade &&
sudo apt -y dist-upgrade &&
sudo apt -y autoremove &&
sudo apt -y autoclean

Install NVIDIA drivers

You can find the latest version of NVIDIA drivers here:

Install the latest driver

sudo apt install nvidia-driver-535-server

After successfully installing the NVIDIA driver reboot your instance

sudo reboot

Connect to your instance again after reboot.

Check that the drivers are correctly installed and active:


Install Miniconda3

curl -O

Press enter to start the installation off Miniconda. Read the terms and accept them by typing "yes"

After installation reload your shell

source .bashrc

Create a new conda environment and activate.

conda create -n pytorch-env
conda activate pytorch-env

Install conda packages:

conda install pytorch torchvision torchaudio pytorch-cuda=11.7 -c pytorch -c nvidia
conda install -c conda-forge jupyterlab

You can now start your JupyterHub server by running:

jupyter lab --ip [Instance Public IP] --port 8000

In the console logs you can find the startup url of Jupyterlab. This also contains the authorisation token.