建设先进数据基础设施，夯实AI智能体时代发展底座

Core Insights - 2025 is widely regarded as the "Year of AI Agents," with artificial intelligence accelerating its integration into various sectors, leading to an explosive growth in data volume, projected to reach 41.06ZB in 2024, a 25% year-on-year increase [1] - The construction of "advanced data infrastructure" is essential for efficient data aggregation, circulation, and utilization, which has become a focal point in global AI competition [1] Group 1: Data Infrastructure Development - A layered approach is necessary for building data infrastructure at the city, industry, and enterprise levels to meet diverse scenario demands [2] - At the city level, the focus is on breaking data silos to achieve comprehensive data aggregation and trustworthy circulation, supporting smart governance and public services [4] - At the industry level, the bottleneck has shifted from "data scarcity" to "lack of high-quality corpus," necessitating the establishment of industry-level data sharing platforms to promote multi-source data integration [4] - At the enterprise level, the deployment of multi-agent systems requires the creation of AI data lakes to unify management of corporate knowledge bases and enhance collaboration and decision-making accuracy among intelligent agents [4] Group 2: Storage Innovation - The efficiency of AI inference is critically dependent on memory management, as AI needs to "remember" historical reasoning processes to improve response speed and accuracy [5] - Huawei has introduced the UCM inference memory data manager, a solution centered on KV Cache, which features a multi-level caching architecture to dynamically call historical data during inference, significantly enhancing response efficiency and economic viability in sectors like finance [5] Group 3: Open Ecosystem and Collaboration - Huawei has established itself as a trusted provider of data infrastructure, ranking second globally and first domestically in storage market revenue [6] - The company is actively opening its AI toolchain and inference frameworks through open-source methods to empower industry partners and build a prosperous technological ecosystem [6] - The development of AI cannot rely on isolated efforts; it requires collective industry collaboration to strengthen the strategic positioning of storage technology within the AI framework [6]