Techniquessoftware implementationkernel & quantization library

specific method · filed under software implementation

FlashQLA

A TileLang-based fused linear-attention kernel library used to optimize GDN kernels.

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strongest: used

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used 1

Documented in

Qwen3.8-Flash-Next

Evidence

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we optimize the GDN kernel with FlashQLA, a TileLang-based fused linear-attention kernel library

usedunclearin Qwen3.8-Flash-NextQwen

On the Design of Qwen3.8-Next Architecture: Evaluation, Efficiency, and Training Stability·Qwen·2026-08-31

Filed alongside

Other methods under software implementation :: kernel & quantization library.

FlashInfer AngelSlim FlashInfer NVLinkOneSided FlashInfer TensorRT-LLM backend MiniTriton NVIDIA Model-Optimizer AITER Container-baked precompiled artifacts CUTEDSL CUTLASS deepseek-recipe flash-moba Flash-Sparse-Attention FLASHMLA_SPARSE Marlin MoE backend MiniTriton dual-mode tensor library Triton