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ML Performance Debugging with XProf | JAX/OpenXLA DevLab Fall 2025
JAX DevLab 2025 - Grain: Feeding JAX Models
JAX/OpenXLA DevLab 2025 - Quantize JAX models with Qwix
Models in JAX & NNX by Hand | JAX/OpenXLA DevLab Fall 2025
JAX AI Stack updates: Orbax, Chex, Optax, and more | JAX/OpenXLA DevLab Fall 2025
JAX/OpenXLA DevLab 2025 - Performance Debugging Deep Dive with XProf
JAX/OpenXLA DevLab 2025 - Large scale training techniques and best practices
JaxPP: A library for MPMD training in JAX | JAX/OpenXLA DevLab Fall 2025
JAX DevLab 2025 - Serving JAX Models
Debugging JAX & Flax NNX (Part 1)
Hands On Workshop: Profiling & Debugging JAX/OpenXLA Workloads
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Last Updated: October 1, 2026
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Summary
This tutorial gives you a tour of Lin Chai, Lance Wang, and Abheesht Sharma from Google talk about the latest features in the framework for post-training in Kelvin Le walks through the features of XProf and shows a case study of how different hyperparameters affect performance. Jen Ha and Tom Yeh use spreadsheets to demonstrate the sharding in Qwen3. Fall Anxhelo Xhebraj introduces JaxPP, a library that enables MPMD training. Fall This tutorial provides an in-depth look at Prasanna Rengasamy from Google and Chris Ashton from NVIDIA introduce how to profile and