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Helion's New CuTe DSL and Pallas Backends and How We Built Them Via Agents - Dunfan Lu & Jason Ansel
Pallas TPU: New and Advanced Features for Kernels | JAX/OpenXLA DevLab Fall 2025
Making a pal!!🫧💕 [2026-09-16]
Writing TPU Kernels in Pallas: Matmul on the MXU (from 12 to 140 TFLOPS)
Probability for AI, Stanford - A new course!
Writing Custom TPU Kernels: Can Pallas Beat XLA (Bielik LLM on TPU v5e - RMSNorm)
From Triton to Pallas: Agentic, Evolutionary Kernel Porting to JAX
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Last Updated: September 29, 2026
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Summary
Robert Dyro from Google introduces how to write high-performance custom TPU kernels in Ivy Zheng from Google introduces how to write custom Tomas Longeri from Google introduces how to optimize TPU vector layouts and transformations between Helion is a Python DSL that raises kernel authoring above languages CUDA and Triton: you describe a kernel at a high level, ... Sharad Vikram explains how to use Join me live next time! twitch.tv/pallasdefleur me on Twitter for updates: x.com/PallasDeFleur Let's be pals on ... From 12 TFLOPS to matching native XLA at 140 TFLOPS: How do you build an efficient Matrix Multiplication (Matmul) kernel for ... We have a new course! Signup before Oct, Muhammet Yusuf Sarıgöz from Altai.dev introduces how to automate porting and optimizing GPU Triton kernels to JAX