Ray Tune
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- Ray Tutorial Builds an End-to-End AI Pipeline
A Juejin AI tutorial presents a runnable mini-ray example spanning data preparation, batch inference, training, online serving, observability, and fault-tolerance exercises. The article says the code requires only Python and NumPy without a GPU, then maps its components to production Ray libraries including Ray Data, Ray Train, Ray Serve, Ray Tune, and KubeRay; no independent runtime verification is provided.
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