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Multi-GPU training is hard (without PyTorch Lightning)

Practical AI

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Decoupling Models from Hardware in PyTorch Lightning

This chapter explores how PyTorch Lightning's design philosophy emphasizes separation of model code from hardware dependencies. It discusses the benefits of this decoupling for team collaboration, reproducibility, and scalability in machine learning projects.

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