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- Keras: Deep Learning Framework for JAX | JAX/OpenXLA DevLab : Featured content with 703 views.
- Contributing to the JAX Ecosystem | JAX/OpenXLA DevLab Fall : Featured content with 175 views.
- Models in JAX & NNX by Hand | JAX/OpenXLA DevLab Fall 2025: Featured content with 323 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 633 views.
Matthew Watson, Fabien Hertschuh, and Abheesht Sharma explain how ...
Minho Ryu, a Google Developer Expert in AI, talks about how you can contribute to the ...
Jen Ha and Tom Yeh use spreadsheets to demonstrate the sharding in Qwen3. ...
Anxhelo Xhebraj introduces JaxPP, a library that enables MPMD training. ...
Matthew Johnson, Principal Scientist at Google, delivers the Keynote address at the ...
Zeev Melumian talks about how to combine PyTorch and ...
Michael Goldfarb from Nvidia explains how to leverage CuTeDSL in ...
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Contributing to the JAX Ecosystem | JAX/OpenXLA DevLab Fall 2025
Minho Ryu, a Google Developer Expert in AI, talks about how you can contribute to the
Models in JAX & NNX by Hand | JAX/OpenXLA DevLab Fall 2025
Jen Ha and Tom Yeh use spreadsheets to demonstrate the sharding in Qwen3.
JaxPP: A library for MPMD training in JAX | JAX/OpenXLA DevLab Fall 2025
Anxhelo Xhebraj introduces JaxPP, a library that enables MPMD training.
Keynote address with Matt Johnson | JAX/OpenXLA DevLab Fall 2025
Matthew Johnson, Principal Scientist at Google, delivers the Keynote address at the
JAX on GPUs | JAX/OpenXLA DevLab Fall 2025
Kuy Mainwaring shows how to run
AMD's JAX Ecosystem | JAX/OpenXLA DevLab Fall 2025
Andy Ye talks about how AMD is using
TorchAX at Lightricks — When PyTorch Meets JAX | JAX/OpenXLA DevLab Fall 2025
Zeev Melumian talks about how to combine PyTorch and
Leveraging CuTeDSL in JAX | JAX/OpenXLA DevLab Fall 2025
Michael Goldfarb from Nvidia explains how to leverage CuTeDSL in
JAX/OpenXLA DevLab Fall 2025 Event Recap
Relive your favorite moments from the
Asynchronous PjRT for JAX on GPU | JAX/OpenXLA DevLab Fall 2025
Jiaxin Cao shows off how to execute async PjRT on GPU.
Unlocking Low-Level Control: Customizing Keras Training Loops with JAX
Do you want the speed and functional power of
Simplifying NNX: New features and updates | JAX/OpenXLA DevLab Fall 2025
Cristian Garcia, creator of NNX, gives some key updates to the library.
Pallas TPU: New and Advanced Features for Kernels | JAX/OpenXLA DevLab Fall 2025
Sharad Vikram explains how to use Pallas to make your custom kernels on TPUs go fast!
JAX/OpenXLA DevLab 2025 Keynote Speech with Robert Hundt
Distinguished Engineer, Robert Hundt, from Google gives the keynote speech for the
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
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.