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- JAX/OpenXLA DevLab Fall 2025 Event Recap: Featured content with 557 views.
- Contributing to the JAX Ecosystem | JAX/OpenXLA DevLab Fall : Featured content with 175 views.
- Keynote address with Matt Johnson | JAX/OpenXLA DevLab Fall : Featured content with 633 views.
- AMD's JAX Ecosystem | JAX/OpenXLA DevLab Fall 2025: Featured content with 244 views.
- Models in JAX & NNX by Hand | JAX/OpenXLA DevLab Fall 2025: Featured content with 323 views.
Minho Ryu, a Google Developer Expert in AI, talks about how you can contribute to the ...
Matthew Johnson, Principal Scientist at Google, delivers the Keynote address at the ...
Jen Ha and Tom Yeh use spreadsheets to demonstrate the sharding in Qwen3. ...
Michael Goldfarb from Nvidia explains how to leverage CuTeDSL in ...
Ying Chen and Harini Sridhar explain how to take advantage of SparseCores in XLA. ...
David Hall gives the latest updates on Marin. ...
Cristian Garcia, creator of NNX, gives some key updates to the library. ...
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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
Keynote address with Matt Johnson | JAX/OpenXLA DevLab Fall 2025
Matthew Johnson, Principal Scientist at Google, delivers the Keynote address at the
AMD's JAX Ecosystem | JAX/OpenXLA DevLab Fall 2025
Andy Ye talks about how AMD is using
Models in JAX & NNX by Hand | JAX/OpenXLA DevLab Fall 2025
Jen Ha and Tom Yeh use spreadsheets to demonstrate the sharding in Qwen3.
JAX on GPUs | JAX/OpenXLA DevLab Fall 2025
Kuy Mainwaring shows how to run
Leveraging CuTeDSL in JAX | JAX/OpenXLA DevLab Fall 2025
Michael Goldfarb from Nvidia explains how to leverage CuTeDSL in
SparseCore Offloading | JAX/OpenXLA DevLab Fall 2025
Ying Chen and Harini Sridhar explain how to take advantage of SparseCores in XLA.
Marin: An Open Laboratory for Foundation Models in JAX | JAX/OpenXLA DevLab Fall 2025
David Hall gives the latest updates on Marin.
Simplifying NNX: New features and updates | JAX/OpenXLA DevLab Fall 2025
Cristian Garcia, creator of NNX, gives some key updates to the library.
JaxPP: A library for MPMD training in JAX | JAX/OpenXLA DevLab Fall 2025
Anxhelo Xhebraj introduces JaxPP, a library that enables MPMD training.
TorchAX at Lightricks — When PyTorch Meets JAX | JAX/OpenXLA DevLab Fall 2025
Zeev Melumian talks about how to combine PyTorch and
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.
JAX AI Stack updates: Orbax, Chex, Optax, and more | JAX/OpenXLA DevLab Fall 2025
Some updates on the
Sharding the Sphere with jax.shard_map | JAX/OpenXLA DevLab Fall 2025
Richard Loft explains how he is using
Offloading RL Rollouts from JAX to vLLM for Efficient Post-Training | JAX/OpenXLA DevLab Fall 2025
Yu-Hang Tang from Nvidia talks about Post-training in
JAX-GCM: A differentiable atmospheric model | JAX/OpenXLA DevLab Fall 2025
Ellen Davenport introduces how to use