Understanding the Ray Ecosystem and Community

Ray is a versatile distributed computing platform that supports both general-purpose applications and specific workloads like machine learning. It has attracted users with its ability to scale Python applications easily. Several popular open-source libraries built on top of Ray cater to different needs, such as hyperparameter tuning (Tune), reinforcement learning (RLlib), distributed training for deep learning models (RaySGD), and model serving for large-scale machine learning applications (Ray Serve). These libraries can be used independently or together, allowing users to choose the tools that best suit their needs. Ray also has a growing community of developers who use its core features for scaling Python programs and creating scalable high-performance libraries.