Accessible and affordable compute power, volume and variety of data, better algorithms and frameworks are the 3 major reasons why Deep Learning as a field has exploded and has become so popular in the last decade. This talk will be primarily focused on the first aspect - compute power and how modern DL based solutions can be deployed on edge devices with minimal compute power. Solutions like NUC (Next Unit of Computing) and NCS2 (Neural Compute Stick - 2) will be discussed and how they can be leveraged to build solutions like auto-navigating robots and assistive devices with accompanying demos. The talk will be concluded with a discussion on principles of community building, collaborating on building open source solutions and how the demos presented were built leveraging the open source community.