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: Hyperparam…