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- JAX DevLab 2025 - Grain: Feeding JAX Models: Featured content with 252 views.
- JAX DevLab 2025 - Serving JAX Models: Featured content with 812 views.
- Grain: Training data processing, tuning, and performance | J: Featured content with 312 views.
- JaxPP: A library for MPMD training in JAX | JAX/OpenXLA DevL: Featured content with 199 views.
- JAX/OpenXLA DevLab 2025 - Quantize JAX models with Qwix: Featured content with 137 views.
This tutorial provides an in-depth look at ...
Anxhelo Xhebraj introduces JaxPP, a library that enables MPMD training. Fall ...
Accelerators are getting faster, but is your data loading keeping up? In this video, we explore the ...
Jen Ha and Tom Yeh use spreadsheets to demonstrate the sharding in Qwen3. Fall ...
David Hall gives the latest updates on Marin. Fall ...
Michael Goldfarb from Nvidia explains how to leverage CuTeDSL in ...
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JAX DevLab 2025 - Serving JAX Models
This tutorial provides an in-depth look at
Grain: Training data processing, tuning, and performance | JAX/OpenXLA DevLab Fall 2025
Ihor Indyk introduces
JaxPP: A library for MPMD training in JAX | JAX/OpenXLA DevLab Fall 2025
Anxhelo Xhebraj introduces JaxPP, a library that enables MPMD training. Fall
Grain DataLoaders Tutorial: The Ultimate Data Loader for JAX
Accelerators are getting faster, but is your data loading keeping up? In this video, we explore 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. Fall
Marin: An Open Laboratory for Foundation Models in JAX | JAX/OpenXLA DevLab Fall 2025
David Hall gives the latest updates on Marin. Fall
JAX-GCM: A differentiable atmospheric model | JAX/OpenXLA DevLab Fall 2025
Ellen Davenport introduces how to use
Leveraging CuTeDSL in JAX | JAX/OpenXLA DevLab Fall 2025
Michael Goldfarb from Nvidia explains how to leverage CuTeDSL in
JAX Data Loading: Using the Grain Dataset API for Simple and Declarative Data Processing
Accelerators are getting faster, but is your data loading keeping up? In this video, we explore the
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, and Abheesht Sharma explain how Keras can be used to run
Asynchronous PjRT for JAX on GPU | JAX/OpenXLA DevLab Fall 2025
Jiaxin Cao shows off how to execute async PjRT on GPU. Fall
Sharding the Sphere with jax.shard_map | JAX/OpenXLA DevLab Fall 2025
Richard Loft explains how he is using
JAX DevLab 2025 JAX: Programming models for programming models
Welcome to the
Optimizing Flax NNX Models with Optax
This is the first of our two part series on optimizing
JAX on GPUs | JAX/OpenXLA DevLab Fall 2025
Kuy Mainwaring shows how to run