Building products in the context where big data, machine learning, and distributed computing come together, RocketML is an HPC software infrastructure structured to optimize every milli-second so that data scientists can iterate on their machine learning experiments faster. In computer architecture, Amdahl's law is used to predict the theoretical speedup when using multiple processors. RocketML is designed around eliminating weak links with every component tuned and pushed to the limits of Amdahl's law. RocketML significantly outperforms all existing Distributed Machine Learning systems.To build models with superior accuracy Data Scientists and Researchers must iterate on their ideas. With a long-duration iteration possibly taking hours (or even), taking time to train (experiment) may not be an attractive option. In light of increasing data sizes, flat computer performances. Tackling the project in timely manner makes Distributed Machine Learning an indispensable tool. The high speed efficiency of RocketML can mean serious savings in time & cost - withthe added advantage of no data size limitation. With no software to install, RocketML is available on AWS marketplace on a âpay as you goâ service ââwhere you don't have to worry about long term con
