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Welcome to Ray! — Ray 2. 53. 0 Ray Core Scale generic Python code with simple, foundational primitives that enable a high degree of control for building distributed applications or custom platforms
RAY – PyTorch Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads Ray provides a small set of distributed computing primitives that allow developers to scale Python applications across heterogeneous clusters of compute
Ray: The Worlds Leading AI Compute Engine - Anyscale With specialized libraries for data streaming, training, fine-tuning, hyperparameter tuning, and serving, Ray simplifies the process of developing and deploying large-scale AI models