Too Long; Didn't Read
One of the biggest hurdles of democratizing <a href="https://hackernoon.com/tagged/deep-learning" target="_blank">deep learning</a> has been the need of a <a href="https://hackernoon.com/tagged/gpu" target="_blank">GPU</a> accelerated environment. If we want to spend our time efficiently testing and learning across problem statements we need a GPU based server.But these GPU based environments across platforms (GCP, AWS, Azure, Paper-space, floydhub) can cost you anything between ~$0.60 -$1.5.This cost when combined with cost of storage and if we are using instances which are persistent may really add to the burden on our money bag.