Ray Train
원문: ray-train
Distributed training orchestration across clusters. Scales PyTorch/TensorFlow/HuggingFace from laptop to 1000s of nodes. Built-in hyperparameter tuning with Ray Tune, fault tolerance, elastic scaling. Use when training massive models across multiple machines or running distribute
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Ray Train Distributed Training Orchestration Quick start Ray Train scales machine learning training from single GPU to multi node clusters with minimal code changes. Installation : Basic PyTorch training (single node): That's it! Ray handles: Distributed coordination GPU allocation Fault tolerance Checkpointing Metric aggregation Common workflows Workflow 1: Scale existing PyTorch code Original single GPU code : Ray Train version (scales to multi GPU/multi node): Benefits : Same code runs on 1 GPU or 1000 GPUs Workflow 2: HuggingFace Transformers integration Workflow 3: Hyperparameter tuning with Ray Tune Result : Distributed hyperparameter search across cluster Workflow 4: Checkpointing and…
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