https://medium.com/ravenprotocol/comparative-analysis-raven-protocol-v-s-conventional-methods-a94b795c2f8c<p>Coming right to the point, Deep Learning is the most advanced and still mostly uncharted form of Machine Learning that many are apprehensive of applying, owing to the simple non-availability of, wait for it… Compute Power.<p>Consider the non-availability or compute-demand that is hard to meet, of GPU resources to train a model, or a very huge requirement that requires abundant compute resources to train the models. This calls for innovative methods to perform DL training. Traditional methods involve Data and Model Parallelism, which partially quenches that demand, with distributed systems. Raven takes both Data and Model Parallelisation approaches to form a different model of distribution.