Introduction Google Colab is a great service that provides free GPUs (for up to 12hours of continuous usage). It allows users to interact with a sever through a Jupyter notebook environment.
While using Google Colab I encountered few limitations: working with a linear notebook can get messy, no good file editor and also I think Jupyter notebook is not suitable for a structured ML project/code.
In this post I will explain how to transform Google Colab instance into a real server with SSH access (with GPU Nvidia T4) and a directory synchronised with local machine (to edit files/add datasets easily).