pytorch-lightning
A deep learning framework to pretrain and finetune any AI model at any scale with zero code changes.
What is pytorch-lightning?
PyTorch Lightning is a deep learning framework built on PyTorch that automates the engineering infrastructure required for training AI models. It enables researchers and engineers to pretrain and finetune models of any size—from simple classifiers to large language models—across thousands of GPUs without changing their core code. The framework handles distributed training, mixed precision, logging, and checkpointing, reducing boilerplate and accelerating development.
AI researchers, machine learning engineers, and data scientists who use PyTorch and need to scale model training across multiple GPUs or nodes while maintaining control over their model architecture and training logic.
Developers choose PyTorch Lightning because it eliminates repetitive engineering code, reduces errors, and provides seamless scaling from a single CPU to massive GPU clusters. Its modular design offers a continuum of control, from high-level abstractions to expert-level customization via Lightning Fabric, all while staying fully compatible with pure PyTorch.
Overview
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Use Cases
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