# Meet qwenGPU: Qwen3.5-2B With 45 Compiled GPU Layers That Run CUDA

> **Publication**: aitalky (Independent AI Journalism)
> **Canonical Citation URL**: https://aitalky.vercel.app/news/meet-qwengpu-qwen3-5-2b-with-45-compiled-gpu-layers-that-run-cuda
> **Original Source**: [MarkTechPost](https://www.marktechpost.com/2026/11/01/qwengpu-simt-gpu-compiled-into-qwen3-5-2b-weights-runs-cuda/)
> **Author**: Michal Sutter (undefined)
> **Published Date**: Monday, November 2, 2026
> **Category**: RESEARCH
> **Tags**: AI, MarkTechPost, research

## Executive Summary
qwenGPU compiles a 4-lane SIMT GPU into Qwen3.5-2B as 45 untrained layers. The model writes every step of real CUDA launches itself, using Gated DeltaNet state as registers and memory



## Full Coverage
qwenGPU compiles a 4-lane SIMT GPU into Qwen3.5-2B as 45 untrained layers. The model writes every step of real CUDA launches itself, using Gated DeltaNet state as registers and memory

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