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2min chapter
Productionizing GenAI at Scale with Robert Nishihara
AI Explained
Integrating Ray with PyTorch for Efficient Distributed Training
This chapter explores the synergy between Ray and PyTorch in enabling distributed training, highlighting the ease of setup provided by the Ray train wrapper. It addresses how Ray enhances data ingestion and fault tolerance, while PyTorch excels in optimizing model performance on individual GPUs.
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