Ray

Ray: A Distributed Framework for Emerging AI Applications

Micah Lerner's paper summary of Ray — UC Berkeley's distributed computing framework for AI workloads. Ray unified task-parallel and actor-based distributed computing in a Python-native API, becoming the foundation for libraries like RLlib, Tune, and later Ray Serve.