September 18-19, 2024 San Francisco, California View More Details & Registration Note: The schedule is subject to change.
The Sched app allows you to build your schedule but is not a substitute for your event registration. You must be registered for PyTorch Conference 2024 to participate in the sessions. If you have not registered but would like to join us, please go to the event registration page to purchase a registration.
This schedule is automatically displayed in Pacific Daylight Time (UTC-7). To see the schedule in your preferred timezone, please select from the drop-down located at the bottom of the menu to the right.
IMPORTANT NOTE: Timing of sessions and room locations are subject to change.
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 package has reached 130M total downloads in June 2024, 2x since early 2023. PyTorch Lightning 2.4 features support for 2D parallelism via DTensors, first introduced in PyTorch 2.3.
The open source stack is completed by Fabric (lightweight building blocks for scaling training workloads), LitGPT (library for pre-training, fine-tuning, serving LLMs), LitData (parallel data processing and streaming data loading), LitServe (lightweight, high-performance serving framework), TorchMetrics (de-facto standard in deep learning metrics), and the recently released Thunder compiler. Together, these packages provide a low-friction, high-performance stack to democratize and accelerate the AI lifecycle.
The stack is optimized to run on Lightning Studios, a PyTorch native, fully integrated AI development environment on the cloud.