Introducing PyTorch Lightning 2.0 and Fabric

Lightning AI announced PyTorch Lightning 2.0 and Lightning Fabric, aiming to improve scalability, collaboration, and iteration for AI researchers and developers. PyTorch Lightning, which has reached roughly 4 million monthly downloads and supports work across academia, enterprises, and models such as Stable Diffusion and OpenFold, is transitioning from the mature 1.9.x series to a simplified 2.0 release with PyTorch 2.0 support, a stable API, a more readable Trainer codebase, and fewer officially supported integrations. Rather than adding complexity to the Trainer for advanced customization, the organization introduced Fabric as a lower-level library that sits between raw PyTorch and Lightning, enabling accelerators, distributed training strategies, mixed precision, DeepSpeed, FSDP, and SLURM support while preserving control over training loops. Migration guidance and an upcoming code-scanning script are planned, while version 1.9.x will continue receiving maintenance but no new features.

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