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torch-nvenc-compress: GPU NVENC silicon as a PCIe bandwidth multiplier — PCA + pure-ctypes Video Codec SDK wrapper. Parallel-path overlap measured at 67% of theoretical max on a real GEMM + encode workload. [P]
Reddit r/MachineLearning·3. Mai 2026
![torch-nvenc-compress: GPU NVENC silicon as a PCIe bandwidth multiplier — PCA + pure-ctypes Video Codec SDK wrapper. Parallel-path overlap measured at 67% of theoretical max on a real GEMM + encode workload. [P]](/cdn-cgi/image/width=3840,quality=75,format=webp/https://external-preview.redd.it/vqLrMLU0urgSqpiud1c7Ilq7WSsJhRPX63HDDrDRN6M.png?width=640&crop=smart&auto=webp&s=0d43a15121928a0c4b5e3a9730e67ff06df77324)
Dieses Projekt stellt die Python-Bibliothek "torch-nvenc-compress" vor, die die NVENC/NVDEC-Hardware der GPU nutzt, um LLM-Aktivierungen und KV-Cache zu komprimieren, um PCIe-Bandbreitenengpässe in Multi-GPU-Setups zu überwinden. Es misst eine Parallelpfadüberlappung von 67% des theoretischen Maximums, wodurch die Kommunikation zwischen Consumer-GPUs verbessert wird.
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