Media Summary: Distinguished Engineer, Robert Hundt, from Google gives the keynote speech for the Matthew Johnson, Principal Scientist at Google, delivers the Keynote address at the Fall Jiaxin Cao shows off how to execute async PjRT on GPU. Fall

Jax Openxla Devlab 2025 Operator - Detailed Analysis & Overview

Distinguished Engineer, Robert Hundt, from Google gives the keynote speech for the Matthew Johnson, Principal Scientist at Google, delivers the Keynote address at the Fall Jiaxin Cao shows off how to execute async PjRT on GPU. Fall Michael Goldfarb from Nvidia explains how to leverage CuTeDSL in Jen Ha and Tom Yeh use spreadsheets to demonstrate the sharding in Qwen3. Fall Matthew Watson, Fabien Hertschuh, and Abheesht Sharma explain how Keras can be used to run

David Hall gives the latest updates on Marin. Fall Zeev Melumian talks about how to combine PyTorch and

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JAX/OpenXLA DevLab 2025 - Operator Fusion
JAX on GPUs | JAX/OpenXLA DevLab Fall 2025
JAX/OpenXLA DevLab 2025 Keynote Speech with Robert Hundt
Keynote address with Matt Johnson | JAX/OpenXLA DevLab Fall 2025
JAX/OpenXLA DevLab 2025 - Large scale training techniques and best practices
AMD's JAX Ecosystem | JAX/OpenXLA DevLab Fall 2025
Asynchronous PjRT for JAX on GPU | JAX/OpenXLA DevLab Fall 2025
Leveraging CuTeDSL in JAX | JAX/OpenXLA DevLab Fall 2025
Models in JAX & NNX by Hand | JAX/OpenXLA DevLab Fall 2025
JAX/OpenXLA DevLab 2025 - Performance Debugging with XProf
Keras: Deep Learning Framework for JAX | JAX/OpenXLA DevLab Fall 2025
Marin: An Open Laboratory for Foundation Models in JAX | JAX/OpenXLA DevLab Fall 2025
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JAX/OpenXLA DevLab 2025 - Operator Fusion

JAX/OpenXLA DevLab 2025 - Operator Fusion

JAX

JAX on GPUs | JAX/OpenXLA DevLab Fall 2025

JAX on GPUs | JAX/OpenXLA DevLab Fall 2025

Kuy Mainwaring shows how to run

Sponsored
JAX/OpenXLA DevLab 2025 Keynote Speech with Robert Hundt

JAX/OpenXLA DevLab 2025 Keynote Speech with Robert Hundt

Distinguished Engineer, Robert Hundt, from Google gives the keynote speech for the

Keynote address with Matt Johnson | JAX/OpenXLA DevLab Fall 2025

Keynote address with Matt Johnson | JAX/OpenXLA DevLab Fall 2025

Matthew Johnson, Principal Scientist at Google, delivers the Keynote address at the Fall

JAX/OpenXLA DevLab 2025 - Large scale training techniques and best practices

JAX/OpenXLA DevLab 2025 - Large scale training techniques and best practices

JAX

Sponsored
AMD's JAX Ecosystem | JAX/OpenXLA DevLab Fall 2025

AMD's JAX Ecosystem | JAX/OpenXLA DevLab Fall 2025

Andy Ye talks about how AMD is using

Asynchronous PjRT for JAX on GPU | JAX/OpenXLA DevLab Fall 2025

Asynchronous PjRT for JAX on GPU | JAX/OpenXLA DevLab Fall 2025

Jiaxin Cao shows off how to execute async PjRT on GPU. Fall

Leveraging CuTeDSL in JAX | JAX/OpenXLA DevLab Fall 2025

Leveraging CuTeDSL in JAX | JAX/OpenXLA DevLab Fall 2025

Michael Goldfarb from Nvidia explains how to leverage CuTeDSL in

Models in JAX & NNX by Hand | JAX/OpenXLA DevLab Fall 2025

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

JAX/OpenXLA DevLab 2025 - Performance Debugging with XProf

JAX/OpenXLA DevLab 2025 - Performance Debugging with XProf

JAX

Keras: Deep Learning Framework for JAX | JAX/OpenXLA DevLab Fall 2025

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

Marin: An Open Laboratory for Foundation Models in JAX | JAX/OpenXLA DevLab Fall 2025

Marin: An Open Laboratory for Foundation Models in JAX | JAX/OpenXLA DevLab Fall 2025

David Hall gives the latest updates on Marin. Fall

TorchAX at Lightricks โ€” When PyTorch Meets JAX | JAX/OpenXLA DevLab Fall 2025

TorchAX at Lightricks โ€” When PyTorch Meets JAX | JAX/OpenXLA DevLab Fall 2025

Zeev Melumian talks about how to combine PyTorch and