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SparseCore Offloading | JAX/OpenXLA DevLab Fall 2025
JAX/OpenXLA DevLab 2025 - XLA Architecture
Grain: Training data processing, tuning, and performance | JAX/OpenXLA DevLab Fall 2025
JAX/OpenXLA DevLab 2025 - Large scale training techniques and best practices
Contributing to the JAX Ecosystem | JAX/OpenXLA DevLab Fall 2025
JAX/OpenXLA DevLab 2025 Keynote Speech with Robert Hundt
Sharding the Sphere with jax.shard_map | JAX/OpenXLA DevLab Fall 2025
PyTorch on TPUs: Native TPU acceleration for PyTorch | JAX/OpenXLA DevLab Fall 2025
JAX/OpenXLA DevLab 2025 - Operator Fusion
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Last Updated: October 15, 2026
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Summary
Kelvin Le walks through the features of This tutorial gives you a tour of Han Qi, Tech Lead for PyTorch/XLA at Google, walks through the history of PyTorch/XLA and reviews updates for PyTorch/XLA ... Ying Chen and Harini Sridhar explain how to take advantage of SparseCores in XLA. Fall Ihor Indyk introduces Grain, a Python library for data processing and loading for Minho Ryu, a Google Developer Expert in AI, talks about how you can contribute to the Distinguished Engineer, Robert Hundt, from Google gives the keynote speech for the Richard Loft explains how he is using Claudio Basile introduces the latest work on running PyTorch code on TPUs. Fall
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