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. The post Meet qwenGPU: Qwen3.5-2B With 45 Compiled GPU Layers That Run CUDA appeared first on MarkTechPost.
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Meet qwenGPU: Qwen3.5-2B With 45 Compiled GPU Layers That Run CUDA
qwenGPU compiles a 4-lane SIMT GPU into the Qwen3.5-2B model as 45 untrained layers. The model autonomously writes every step of real CUDA launches, using Gated DeltaNet state as registers and memory. This approach represents a novel integration of GPU simulation within a language model.
Shows a novel technique where a language model internally simulates a GPU and generates CUDA code, potentially enabling new forms of self-contained computation.
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