Accelerating the LLM Lifecycle on the Cloud - Luca Antiga, Lightning AI

Accelerating the LLM Lifecycle on the Cloud - Luca Antiga, Lightning AI

Dive into the Lightning AI open source stack and Lightning Studios to unlock reproducible AI development on the cloud.

PyTorch Lightning is a leading open source framework that was used to train several of the best generative AI models. With over 100 million downloads, it is the framework of choice for researchers and companies worldwide to train and fine-tune AI models. PyTorch Lightning and the rest of the Lightning AI stack, which includes Fabric, TorchMetrics, litgpt, litdata, and Thunder, provides a cutting-edge open-source foundation for practitioners.

Just as the Lightning AI open source stack is democratizing access to cutting-edge AI research and engineering, Lightning Studios democratize access to cloud computing resources and solve the challenges of reproducibility and collaboration. Lightning Studios offer a laptop-like cloud experience, enabling seamless accelerated computing for individuals and organizations. Studios provide reproducible environments for development, training, and hosting applications across diverse hardware setups, with support for multi-node training and parallel data processing.