Richard Liaw (Ray) PyTorch Conference North America 2025 // TRAIN BRAIN

Richard Liaw (Ray) PyTorch Conference North America 2025

Richard Liaw of Ray discusses the project’s focus on building useful, critical AI infrastructure and the importance of Ray within the broader AI stack. He also speaks about maintaining Ray as an open, well-governed project that continues to evolve with its community.
PyTorch Conference North America returns October 20–21, 2026, in San Jose.
Register: https://hubs.la/Q04w5M9L0

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Welcome to the official PyTorch YouTube Channel. Learn about the latest PyTorch tutorials, new, and more. PyTorch is an open source machine learning framework that is used by both researchers and developers to build, train, and deploy ML systems that so...

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Richard Liaw (Ray) PyTorch Conference North America 2025

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Lightning Talk: How DeepInverse Is Solving Imaging in Science and H... Andrew Wang & Minh Hai Nguyen

Write Once, Run Everywhere with Pytorch Transformers - Pedro Cuenca, Hugging Face

The Science and Practice of Open and Scalable LLM Evaluations - Grzegorz Chlebus, NVIDIA

Lightning Talk: Deep Learning in the Wild: Embedded PyTorch for... Taraqur Rahman & Owen O'Donnell

The Token Slice: Implementing Preemptive Scheduling Via Chunked Decod... Maroon Ayoub & Kellen Swain

Enabling State-of-the-art Asynchronous Execution in Torch.compile With CUDA Streams - Michael Lazos

Lightning Talk: ExecuTorch on Microcontrollers: Deploying PyTorch To... RJ Ascani & Matthias Cremon

Lightning Talk: TerraKit: Standardising AI-Ready Geospatial Data... Rosie Lickorish & Romeo Kienzler

Lightning Talk: Bayesian Neural Networks With Variational Inference in PyTorch - Lars Heyen

Lightning Talk: Why Your Forecasting Transformer Isn’t Working (And How To Fix It... Rosheen Naeem

Build PyTorch to Understand PyTorch - Vijay Janapa Reddi & Andrea Mattia Garavagno

Lightning Talk: Jigsaw: Domain and Tensor Parallelism for High-Resolution Inp... Deifilia Kieckhefen

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Keynote: Building an Open Agentic Future - Samuel Colvin, Founder, Pydantic

Open Source Model Performance Optimization With SGLang - Yineng Zhang, Together AI

Sponsored Session: Fine Tune Your AI Toolbox with GitHub Copilot, Azure AI Foundry... - Sarah Kaiser

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Generating State-of-the-Art GEMMs for Heterogeneous Hardware with... - Michael Lazos & Henry Tsang

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verl: An Open Source Large Scale LLM RL Framework for Agentic Tasks - Yuxuan Tong, Bytedance

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