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JAX/OpenXLA DevLab 2025 - Performance Debugging with XProf
Offloading RL Rollouts from JAX to vLLM for Efficient Post-Training | JAX/OpenXLA DevLab Fall 2025
Keynote address with Matt Johnson | JAX/OpenXLA DevLab Fall 2025
JAX on GPUs | JAX/OpenXLA DevLab Fall 2025
Simplifying NNX: New features and updates | JAX/OpenXLA DevLab Fall 2025
Sharding the Sphere with jax.shard_map | JAX/OpenXLA DevLab Fall 2025
Asynchronous PjRT for JAX on GPU | JAX/OpenXLA DevLab Fall 2025
ML Performance Debugging with XProf | JAX/OpenXLA DevLab Fall 2025
JAX DevLab 2025 - Serving JAX Models
JAX-GCM: A differentiable atmospheric model | JAX/OpenXLA DevLab Fall 2025
Decoupling MaxText for Training on non-GCE Environments | JAX/OpenXLA DevLab Fall 2025
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Last Updated: October 16, 2026
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Ying Chen and Harini Sridhar explain how to take advantage of Relive your favorite moments from the Minho Ryu, a Google Developer Expert in AI, talks about how you can contribute to the Michael Goldfarb from Nvidia explains how to leverage CuTeDSL in Yu-Hang Tang from Nvidia talks about Post-training in Matthew Johnson, Principal Scientist at Google, delivers the Keynote address at the Kuy Mainwaring shows how to run Cristian Garcia, creator of NNX, gives some key updates to the library. Richard Loft explains how he is using Jiaxin Cao shows off how to execute async PjRT on GPU. Kelvin Le walks through the features of XProf and shows a case study of how different hyperparameters affect performance. This tutorial provides an in-depth look at Ellen Davenport introduces how to use Gulsum Gudukbay Akbulut explains how to leverage the power of MaxText in other compute environments.
Sparsecore Offloading Jax Openxla Devlab Fall 2025.pdf
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