Inference Optimization GPU Infrastructure Qwen

FlashQLA

High-performance linear attention kernels built on TileLang.

A TileLang-based stack of high-performance linear-attention kernels, intended to accelerate forward and backward passes for AI deployments, including edge and long-context use cases.

Recent stories

1 linked story

releasePRIMARY2026-04-29

FlashQLA releases TileLang linear-attention kernels with 2–3x forward speedups

Alibaba Qwen introduced FlashQLA, a TileLang-based linear-attention kernel stack that reports 2–3x faster forward passes and 2x faster backward passes. The release gives edge and long-context deployments a new optimization lever below the model layer itself.