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Lightning Thunder: Supercharged PyTorch for Modern Hardware - Luca Antiga, Lightning AI
Lightning Talk: Profiling and Memory Debugging Tools for Distributed ML Workloads on GPUs- Aaron Shi
Lightning Talk: Every Millisecond Counts: The Fine-tuning Journey of an Ultra-Eff... Pavel Macenauer
Lightning Talk: Implementing and Using Iterable Datasets: What Could Go Wrong - Nicolas Hug, Meta
Lightning Talk: Flexible Deployment of PyTorch Models on MCU-Class... Robert Kalmar & Martin Pavella
Lightning Talk: Debugging the Undebuggable: Introducing Torch.distributed.debug - Tristan Rice
PyTorch Tutorial 04 - Backpropagation - Theory With Example
Lightning Talk: Bayesian Neural Networks With Variational Inference in PyTorch - Lars Heyen
Lightning Talk: Why Logging Isn’t Enough: Making PyTorch Training Regressions Vi... Sahana Venkatesh
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Last Updated: August 24, 2026
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