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- JAX/OpenXLA DevLab 2025 - Large scale training techniques an: Featured content with 966 views.
- JaxPP: A library for MPMD training in JAX | JAX/OpenXLA DevL: Featured content with 199 views.
- Keynote address with Matt Johnson | JAX/OpenXLA DevLab Fall : Featured content with 636 views.
- Grain: Training data processing, tuning, and performance | J: Featured content with 310 views.
- JAX on GPUs | JAX/OpenXLA DevLab Fall 2025: Featured content with 302 views.
Anxhelo Xhebraj introduces JaxPP, a library that enables MPMD ...
Matthew Johnson, Principal Scientist at Google, delivers the Keynote address at the Fall ...
Ihor Indyk introduces Grain, a Python library for data processing and loading for ...
Matthew Watson, Fabien Hertschuh, and Abheesht Sharma explain how Keras can be used to run ...
Jen Ha and Tom Yeh use spreadsheets to demonstrate the sharding in Qwen3. Fall ...
Distinguished Engineer, Robert Hundt, from Google gives the keynote speech for the ...
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JaxPP: A library for MPMD training in JAX | JAX/OpenXLA DevLab Fall 2025
Anxhelo Xhebraj introduces JaxPP, a library that enables MPMD
Keynote address with Matt Johnson | JAX/OpenXLA DevLab Fall 2025
Matthew Johnson, Principal Scientist at Google, delivers the Keynote address at the Fall
Grain: Training data processing, tuning, and performance | JAX/OpenXLA DevLab Fall 2025
Ihor Indyk introduces Grain, a Python library for data processing and loading for
JAX on GPUs | JAX/OpenXLA DevLab Fall 2025
Kuy Mainwaring shows how to run
Keras: Deep Learning Framework for JAX | JAX/OpenXLA DevLab Fall 2025
Matthew Watson, Fabien Hertschuh, and Abheesht Sharma explain how Keras can be used to run
Models in JAX & NNX by Hand | JAX/OpenXLA DevLab Fall 2025
Jen Ha and Tom Yeh use spreadsheets to demonstrate the sharding in Qwen3. Fall
JAX/OpenXLA DevLab 2025 Keynote Speech with Robert Hundt
Distinguished Engineer, Robert Hundt, from Google gives the keynote speech for the
Unlocking Low-Level Control: Customizing Keras Training Loops with JAX
Do you want the speed and functional power of
Offloading RL Rollouts from JAX to vLLM for Efficient Post-Training | JAX/OpenXLA DevLab Fall 2025
Yu-Hang Tang from Nvidia talks about Post-
JAXformer: Focusing on scaling MoE pretraining on TPUs | JAX/OpenXLA DevLab Fall 2025
Aditya Makkar, Divya Makkar, and Chinmay Jindal explain how to use JAXformer to learn about scaling MoE pretraining on TPUs.
ML Performance Debugging with XProf | JAX/OpenXLA DevLab Fall 2025
Kelvin Le walks through the features of XProf and shows a case study of how different hyperparameters affect performance.
AMD's JAX Ecosystem | JAX/OpenXLA DevLab Fall 2025
Andy Ye talks about how AMD is using
Model Explorer: Visualization and Debugging for Large Model Graphs | JAX/OpenXLA DevLab Fall 2025
Eric Yang demonstrates the Model Explorer for visualizing and debugging your models. Fall
Marin: An Open Laboratory for Foundation Models in JAX | JAX/OpenXLA DevLab Fall 2025
David Hall gives the latest updates on Marin. Fall