Jupyter Notebook 3.0.5

Web-based interactive environment for a wide range of data science, machine learning and computing workflows.
Config Version
Cost per hour*
Cost per month*

* Cost is estimated, based on recommended minimal configuration. It does not include Volumes and resources dynamically allocated by application in a runtime.

Recommended minimal configuration
Optional resources

NVIDIA 2080 Ti

0.29€ per GPU*hour

You can request any amount of CPU and RAM during the installation process.

About this App

Note: Puzl doesn't offer support regarding 3rd party software.

In this article in Puzl blog, we have a step-by-step guide on how to run Jupyter Notebook and boost it with GPU.


Jupyter Notebook is a web-based interactive environment for your code and data. Its last generation - JupyterLab - supports a wide range of data science, machine learning and computing workflows. It can be used with various runtimes (kernels): Python, R, etc.

With Puzl you can get your Jupyter Notebook in a cloud, ready in just a few clicks. You can also add GPU(s) and choose from a variety of ready-to-go environments (Docker images) containing CUDA and popular AI/ML tools. As usual in Puzl, you can flexibly configure CPU and RAM requests for your app. You're paying only for resources actually utilized by your Jupyter Notebook and not for excess infrastructure like in the case with virtual machines.

How To Deploy Jupyter Notebook

Install Jupyter Notebook in your Puzl cloud dashboard

Click the 'Install' button at the top of this page and fill in the form:

  1. Password - you will use it to access your Jupyter Notebook interface after installation.
  2. Environment (Docker Image) - you can choose either from a selection of Docker Images, provided by Puzl for your convenience, or enter your own Docker Image from hub.docker.com.
  3. Interface - choose between classic Jupyter Notebook and the next-generation JupyterLab. JupyterLab caters much more features and can be powered up with a set of widgets.
  4. NVMe based persistent volume - it will store datasets and the results of your work. You may create a new Volume or pick from the existing ones.

Getting started after installing Jupyter Notebook

On your Jupyter Notebook page find section Access and click on the link provided at the top of the section. Your Jupyter Notebook app will be opened in a new tab. To access the interface you will need a password, which you have specified during the installation. You can find this password below the URL in the Access section.

To check resources, in your Jupyter Notebook open Terminal and run:

Check GPU

Check data on your Volume

Relevant Links
A step-by-step guide on how to run Jupyter Notebook and boost it with GPU
This app is based on the following software
Terms of Service

By using this product, you agree to the Puzl Terms of Service and the terms and conditions of the software license(s) mentioned above.