PyTorch Lightning

A high-level framework for professional AI researchers to decouple model architecture from engineering boilerplate.

PyTorch Lightning streamlines deep learning workflows by organizing raw PyTorch code into structured LightningModules. It automates essential engineering tasks: multi-GPU scaling, mixed-precision training (16-bit), and checkpointing. By separating the research math from the hardware orchestration, it enables teams to scale models from a single CPU to thousands of NVIDIA GPUs without rewriting the core logic. This framework powers production workloads at organizations like OpenAI and Meta, ensuring reproducible results through a standardized trainer interface.

https://www.pytorchlightning.ai