IBM rolls out CodeFlare, an open-source framework for machine learning apps

IBM Wednesday announced CodeFlare, an open-source, serverless framework designed to simplify the integration and efficient scaling of big data and AI workflows onto the hybrid cloud. CodeFlare is built on top of an emerging open-source distributed computing framework for machine learning applications known as Ray. IBM said CodeFlare extends the capabilities of Ray by adding specific elements to make scaling workflows easier. With data and machine learning analytics are proliferating into just about every industry, tasks are becoming far more complex, IBM noted. While it is important to have larger datasets and more systems designed for AI research, as these workflows become more involved, researchers are spending more and more time configuring their setups than getting data science done.