Individual skill
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 distributed hyperparameter sweeps.
backend/cli/skills/ml-training/ray-train/SKILL.md
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- agent Repository topic
- ai Repository topic
- bun Repository topic
- cli Repository topic
- llm Repository topic
- ml Repository topic
- open-source Repository topic
- research Repository topic
- science Repository topic
- ai-agent Repository topic
- ray-train Declared skill tag
- distributed-training Declared skill tag
- synthetic-sciencestion Declared skill tag
- ray Declared skill tag
- hyperparameter-tuning Declared skill tag
- fault-tolerance Declared skill tag
- elastic-scaling Declared skill tag
- multi-node Declared skill tag
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- engineering Derived category
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# Ray Train - Distributed Training Synthetic Sciencestion
## Quick start
Ray Train scales machine learning training from single GPU to multi-node clusters with minimal code changes.
**Installation**:
```bash
pip install -U "ray[train]"
```
**Basic PyTorch training** (single node):
```python