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Neural Speed: An Innovative Library for Efficient LLM Inference via Low-Bit Quantization

Neural Speed is an LLM inference optimization library focused on low-bit quantization technology. Through innovative quantization algorithms and an efficient inference engine, it significantly reduces model deployment costs, improves inference speed, and provides strong support for LLM applications on edge devices.

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Published 2026-05-20 05:15Recent activity 2026-05-20 05:21Estimated read 1 min
Neural Speed: An Innovative Library for Efficient LLM Inference via Low-Bit Quantization
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Section 01

导读 / 主楼:Neural Speed: An Innovative Library for Efficient LLM Inference via Low-Bit Quantization

Introduction / Main Floor: Neural Speed: An Innovative Library for Efficient LLM Inference via Low-Bit Quantization

Neural Speed is an LLM inference optimization library focused on low-bit quantization technology. Through innovative quantization algorithms and an efficient inference engine, it significantly reduces model deployment costs, improves inference speed, and provides strong support for LLM applications on edge devices.