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- Asynchronous PjRT for JAX on GPU | JAX/OpenXLA DevLab Fall 2: Featured content with 234 views.
- JAX on GPUs | JAX/OpenXLA DevLab Fall 2025: Featured content with 302 views.
- AMD's JAX Ecosystem | JAX/OpenXLA DevLab Fall 2025: Featured content with 244 views.
- Pallas TPU: New and Advanced Features for Kernels | JAX/Open: Featured content with 1,257 views.
- JAX/OpenXLA DevLab - PJRT: '25 Update and overview of Extens: Featured content with 353 views.
Sharad Vikram explains how to use Pallas to make your custom kernels on TPUs go fast! ...
Minho Ryu, a Google Developer Expert in AI, talks about how you can contribute to the ...
Anxhelo Xhebraj introduces JaxPP, a library that enables MPMD training. ...
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. ...
Zeev Melumian talks about how to combine PyTorch and ...
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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
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 - PJRT: '25 Update and overview of Extensions
JAX
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
JaxPP: A library for MPMD training in JAX | JAX/OpenXLA DevLab Fall 2025
Anxhelo Xhebraj introduces JaxPP, a library that enables MPMD training.
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.
TorchAX at Lightricks — When PyTorch Meets JAX | JAX/OpenXLA DevLab Fall 2025
Zeev Melumian talks about how to combine PyTorch and
JAX-GCM: A differentiable atmospheric model | JAX/OpenXLA DevLab Fall 2025
Ellen Davenport introduces how to use
Offloading RL Rollouts from JAX to vLLM for Efficient Post-Training | JAX/OpenXLA DevLab Fall 2025
Yu-Hang Tang from
Keynote address with Matt Johnson | JAX/OpenXLA DevLab Fall 2025
Matthew Johnson, Principal Scientist at Google, delivers the Keynote address at the
Simplifying NNX: New features and updates | JAX/OpenXLA DevLab Fall 2025
Cristian Garcia, creator of NNX, gives some key updates to the library.
SparseCore Offloading | JAX/OpenXLA DevLab Fall 2025
Ying Chen and Harini Sridhar explain how to take advantage of SparseCores in XLA.
JAX/OpenXLA DevLab 2025 Keynote Speech with Robert Hundt
Distinguished Engineer, Robert Hundt, from Google gives the keynote speech for the
vLLM TPU: A new unified backend for JAX and PyTorch inference on TPU | JAX/OpenXLA DevLab Fall 2025
Brittany Rockwell and Jun Wan talk about how vLLM TPU will allow