helion

PyTorch's Helion kernel DSL is integrated into vLLM's linear backend, where a single autotuned GEMM implementation covers Standard GEMM, Split-K, and Swap-AB variants, outperforming CUTLASS and DeepGEMM backends on NVIDIA Hopper GPUs with over 10% throughput gains on some workloads.

The Hugging Face Kernels project now supports Helion, a high-level DSL for writing performant ML kernels, enabling users to build, autotune, and ship kernels seamlessly.

This blog explores using LLM-guided autotuning to accelerate kernel configuration search in PyTorch's Helion DSL, replacing the slower Likelihood-Free Bayesian Optimization approach.

Helion is a Python DSL that compiles to optimized Triton code for performance-portable GPU kernels. This tutorial at PLDI 2026 covers Helion's architecture, autotuning, and CuteDSL backend.

The PyTorch Foundation project Helion is hosting a Helion DSL Tutorial at PLDI 2026 in Denver. It's an interactive workshop for compiler researchers, kernel authors, and ML systems engineers to write, autotune, and run Helion kernels.