You can use Jupyter Notebooks to share Python code and its output with third parties, to run code with live interactive feedback, or to systematically track and document the progress of your work.

Installing Python This step may sound redundant if youâ re already knee-deep into programming, but youâ ll need to install Python on your PC to use GPU-accelerated AI in Jupyter Notebook.

Because of the client/server architecture, it is very simple to share notebooks with other users. You can — in theory — use Jupyter for anything you could use Python for.

JupyterLab A next-generation user interface for Jupyter Notebook, called JupyterLab, is now available and considered ready for production use.

The actual AI training was written in Python using Google Collaboratory, which is itself based on the awesome Jupyter Notebook (see also Jupyter Lab on the main site.

Google Colab and Jupyter Notebook are powerful tools for coding and data analysis, each offering unique features and benefits. Compare them to choose the best fit for your needs.

NVIDIA has published a new article detailing how you can create GPU dashboards in the Jupyter Lab. The tutorial has been written by Jacob Tomlinson, Ken Hester and Rick Zamora using the Python ...