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Ray Train Distributed Training Orchestration
distributed-training-ray-train
davila7/claude-code-templates
446
Ray Train enables distributed machine learning training orchestration across clusters, scaling frameworks like PyTorch, TensorFlow, and HuggingFace from single laptops to thousands of nodes. It includes built-in hyperparameter tuning with Ray Tune, fault tolerance, and elastic scaling capabilities. Ideal for training massive models across multiple machines or running distributed hyperparameter sweeps efficiently.
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