Overview of Model Explorer Visualization And Debugging For Large Model Graphs Jax Openxla Devlab Fall 2025
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Models in JAX & NNX by Hand | JAX/OpenXLA DevLab Fall 2025
JAX/OpenXLA DevLab 2025 - XLA Architecture
JAX/OpenXLA DevLab 2025 - Performance Debugging with XProf
Grain: Training data processing, tuning, and performance | JAX/OpenXLA DevLab Fall 2025
Sharding the Sphere with jax.shard_map | JAX/OpenXLA DevLab Fall 2025
Hands On Workshop: Profiling & Debugging JAX/OpenXLA Workloads
Marin: An Open Laboratory for Foundation Models in JAX | JAX/OpenXLA DevLab Fall 2025
JAX/OpenXLA DevLab 2025 - Quantize JAX models with Qwix
AMD's JAX Ecosystem | JAX/OpenXLA DevLab Fall 2025
RL at Google Scale, with MaxText 2.0 | JAX/OpenXLA DevLab Fall 2025
TorchAX at Lightricks — When PyTorch Meets JAX | JAX/OpenXLA DevLab Fall 2025
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Last Updated: October 1, 2026
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Summary
This tutorial gives you a tour of 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. Ihor Indyk introduces Grain, a Python library for data processing and loading for Richard Loft explains how he is using Prasanna Rengasamy from Google and Chris Ashton from NVIDIA introduce how to profile and David Hall gives the latest updates on Marin. Andy Ye talks about how AMD is using Kyle Meggs talks about the latest version of MaxText Zeev Melumian talks about how to combine PyTorch and
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