广发证券：AI记忆上游基础设施价值量、重要性提升 建议关注产业链核心受益标的

Core Insights - The report from GF Securities highlights the emergence of AI memory as a foundational capability that supports contextual continuity, personalization, and historical information reuse, which is expected to accelerate the deployment of AI applications like AI Agents [1] Group 1: AI Memory and Infrastructure - AI memory is transitioning from being viewed as a cost item to an asset item, leading to increased value and importance of related upstream infrastructure [1] - NVIDIA has launched the AI inference context storage platform ICMS, which addresses the growing demand for long-term context memory layers in multi-turn reasoning scenarios [1] Group 2: Performance and Economic Viability of ICMS - The ICMS platform demonstrates superior performance in SSD usage, with significantly lower unit costs compared to GPU memory and scalable capacity in TB and PB [2] - WEKA's performance evaluation of its enhanced memory grid (AMG) shows that ICMS can effectively handle long-term context while maintaining stable throughput, achieving up to 4 times higher throughput compared to other solutions as user pools grow [2] Group 3: Market Potential for Context Storage - The estimated storage requirements for context memory indicate that supporting 100,000 simultaneous users or agents with a large context model could require approximately 45PB of storage, assuming a retention factor of 15x [3]