华为AI推理新技术犀利！中国银联大模型效率提高了125倍

Core Insights - Huawei has launched the Unified Cache Manager (UCM), an AI inference innovation technology aimed at optimizing inference speed, efficiency, and cost [1] - UCM is a KV Cache-centered inference acceleration suite that integrates various caching acceleration algorithms to manage KV Cache memory data during inference, enhancing throughput and reducing per-token inference costs [1][5] Summary by Sections UCM Overview - UCM is designed to address pain points in the inference process, focusing on optimizing user experience and commercial viability [4] - The technology aims to improve inference speed, with current foreign models achieving 200 Tokens/s compared to less than 60 Tokens/s in China [4] Technical Components - UCM consists of three main components: inference engine plugins, a library of multi-level KV Cache management and acceleration algorithms, and high-performance KV Cache access adapters [5] - The system can reduce the first token latency by up to 90% through its hierarchical adaptive global prefix caching technology [5] Application in Financial Sector - Huawei has partnered with China UnionPay to pilot UCM technology in financial scenarios, achieving a 125-fold increase in inference speed, allowing for rapid identification of customer inquiries [5] - The financial industry is seen as a natural fit for early adoption due to its digital nature and high demands for speed, efficiency, and reliability [5] Future Developments - China UnionPay plans to collaborate with Huawei and other partners to build "AI + Finance" demonstration applications, transitioning technology from experimental validation to large-scale application [6] Differentiation of UCM - UCM's advantages include the integration of professional storage capabilities, a comprehensive lifecycle management mechanism for KV Cache, and a diverse algorithm acceleration library [8] - Unlike existing solutions that focus solely on prefix caching, UCM incorporates a wider range of algorithms and is adaptable to various inference scenarios [8] Open Source Initiative - Huawei has announced an open-source plan for UCM, aiming to foster collaboration among framework, storage, and computing vendors to enhance efficiency and reduce costs in the AI industry [9] - The open-source initiative will officially launch in September, contributing to the mainstream inference engine community [9]