Lightning AI is an all-in-one AI development platform built by the creators of PyTorch Lightning: it lets teams prototype, train, scale, and serve models directly from the browser with zero local setup, including automatic checkpointing and distributed training support across multiple GPUs or machines.
Handling checkpointing and multi-GPU distribution automatically is what removes one of the more error-prone, time-consuming parts of serious model training – manually configuring distributed training and making sure a long run survives an interruption is exactly the kind of infrastructure work that has nothing to do with the actual modeling problem a team is trying to solve. Built-in logging and visualization tools track training progress directly alongside APIs for the surrounding DevOps work – data ingestion, preprocessing, version control, and resource monitoring.
Lightning AI targets ML engineers and research teams building and deploying models at any scale. Pricing follows a freemium model: a free tier with monthly credits for individuals and small teams, Starter/Pro at $50/month, Teams at $140/user/month, and custom Enterprise plans for larger organizations.
