Luca Antiga

Join Luca Antiga, CTO of Lightning AI and early PyTorch core contributor, and Niall Lyons, Staff Deep Learning Researcher at Infineon Technologies.Learn first-hand how the Lightning platform streamlines model training and optimized inference by handling environment setup, scaling across...

Since its early days, PyTorch has empowered researchers and practitioners with its expressive design. However, as hardware advances and model scales grow, users are increasingly required to embed optimizations and distributed logic directly into model code. Thunder is a PyTorch compiler designed to...

A hallmark feature of PyTorch is the natural expression of computation. This enables practitioners to implement AI models with ease. However, it prompts the question how to optimize the workload for a given hardware setup because those optimizations clutter our code and are tricky to combine....

We introduce the Lightning AI open source stack, a high-performance stack for training, fine-tuning, and deploying AI systems that augments the PyTorch ecosystem. Today PyTorch Lightning powers training workloads across the industry, from small-scale research to large-scale training endeavors. The...

Four years after its initial release, PyTorch Lightning has become one of the most used deep learning frameworks. It has been adopted by tens of thousands of companies and academic groups, contributing to drive the adoption of PyTorch to where it is today. The advent of generative AI has led to new...