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- AMD's JAX Ecosystem | JAX/OpenXLA DevLab Fall 2025: Featured content with 244 views.
- Contributing to the JAX Ecosystem | JAX/OpenXLA DevLab Fall : Featured content with 175 views.
- Keras: Deep Learning Framework for JAX | JAX/OpenXLA DevLab : Featured content with 703 views.
- JAX on GPUs | JAX/OpenXLA DevLab Fall 2025: Featured content with 302 views.
- Marin: An Open Laboratory for Foundation Models in JAX | JAX: Featured content with 148 views.
Minho Ryu, a Google Developer Expert in AI, talks about how you can contribute to the ...
David Hall gives the latest updates on Marin. ...
Matthew Johnson, Principal Scientist at Google, delivers the Keynote address at the ...
Jiaxin Cao shows off how to execute async PjRT on GPU. ...
Sharad Vikram explains how to use Pallas to make your custom kernels on TPUs go fast! ...
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
Keras: Deep Learning Framework for JAX | JAX/OpenXLA DevLab Fall 2025
Matthew Watson, Fabien Hertschuh,
JAX on GPUs | JAX/OpenXLA DevLab Fall 2025
Kuy Mainwaring shows how to run
Marin: An Open Laboratory for Foundation Models in JAX | JAX/OpenXLA DevLab Fall 2025
David Hall gives the latest updates on Marin.
JAX/OpenXLA DevLab Fall 2025 Event Recap
Relive your favorite moments from the
Keynote address with Matt Johnson | JAX/OpenXLA DevLab Fall 2025
Matthew Johnson, Principal Scientist at Google, delivers the Keynote address at the
Asynchronous PjRT for JAX on GPU | JAX/OpenXLA DevLab Fall 2025
Jiaxin Cao shows off how to execute async PjRT on GPU.
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!
Leveraging CuTeDSL in JAX | JAX/OpenXLA DevLab Fall 2025
Michael Goldfarb from Nvidia explains how to leverage CuTeDSL in
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
JAX/OpenXLA DevLab 2025 Keynote Speech with Robert Hundt
Distinguished Engineer, Robert Hundt, from Google gives the keynote speech for the
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
Simplifying NNX: New features and updates | JAX/OpenXLA DevLab Fall 2025
Cristian Garcia, creator of NNX, gives some key updates to the library.