Quick Overview: Kelvin Le walks through the features of XProf and shows a case study of how different hyperparameters affect Matthew Johnson, Principal Scientist at Google, delivers the Keynote address at the Fall Distinguished Engineer, Robert Hundt, from Google gives the keynote speech for the

Jax Openxla Devlab 2025 Performance - Detailed Overview & Context

Kelvin Le walks through the features of XProf and shows a case study of how different hyperparameters affect Matthew Johnson, Principal Scientist at Google, delivers the Keynote address at the Fall Distinguished Engineer, Robert Hundt, from Google gives the keynote speech for the Ihor Indyk introduces Grain, a Python library for data processing and loading for Relive your favorite moments from the Fall Faysal Khan talks about working with LLM models on Blackwell. Fall

Jen Ha and Tom Yeh use spreadsheets to demonstrate the sharding in Qwen3. Fall Ying Chen and Harini Sridhar explain how to take advantage of SparseCores in XLA. Fall Anxhelo Xhebraj introduces JaxPP, a library that enables MPMD training. Fall Zeev Melumian talks about how to combine PyTorch and Matthew Watson, Fabien Hertschuh, and Abheesht Sharma explain how Keras can be used to run David Hall gives the latest updates on Marin. Fall

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JAX/OpenXLA DevLab 2025 - Performance Debugging with XProf
ML Performance Debugging with XProf | JAX/OpenXLA DevLab Fall 2025
JAX on GPUs | JAX/OpenXLA DevLab Fall 2025
Keynote address with Matt Johnson | JAX/OpenXLA DevLab Fall 2025
JAX/OpenXLA DevLab 2025 - Performance Debugging Deep Dive with XProf
JAX/OpenXLA DevLab 2025 Keynote Speech with Robert Hundt
Grain: Training data processing, tuning, and performance | JAX/OpenXLA DevLab Fall 2025
JAX/OpenXLA DevLab Fall 2025 Event Recap
Accelerating LLM models on Blackwell | JAX/OpenXLA DevLab Fall 2025
Models in JAX & NNX by Hand | JAX/OpenXLA DevLab Fall 2025
SparseCore Offloading | JAX/OpenXLA DevLab Fall 2025
JaxPP: A library for MPMD training in JAX | JAX/OpenXLA DevLab Fall 2025
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