description Ray Overview
Ray is an open-source framework that makes it simple to scale Python applications from a single machine to a large cluster. While it can be used for general-purpose distributed computing, it has become the industry standard for scaling AI and machine learning workloads. Ray provides a simple API for distributed tasks and actors, making it ideal for training large models, hyperparameter tuning, and serving models in production. Its integration with libraries like Ray Train, Ray Tune, and Ray Serve makes it a comprehensive platform for modern AI development, outperforming Spark in many ML-specific scenarios.
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