Accelerating OpenPangu Inference on NPU via Speculative Decoding

arXiv:2603.03383v1 Announce Type: new
Abstract: To mitigate the Memory Wall bottleneck encountered by Large Language Models (LLMs) during inference on textbf{NPU} hardware, and addressing the scarcity of native support for mainstream speculative decoding algorithms on domestic infrastructure, this study presents an end-to-end speculative inference acceleration scheme for OpenPangu-7B.