当黄仁勋将存储定义为「AI运行内存」，基础设施该如何实现物种进化？

Core Insights - The article discusses the unprecedented demand for DRAM and storage solutions driven by AI computing needs, highlighting a significant structural shortage in the global memory market [2][4] - XSKY, a company that has evolved into a leader in China's object storage market, is addressing the challenges posed by AI infrastructure through its AIMesh product strategy, which aims to transform data centers into AI factories [5][10] Group 1: Market Dynamics - The global DRAM wafer demand is projected to reach approximately 40% of the total global DRAM wafer capacity due to agreements between OpenAI and major suppliers like Samsung and SK Hynix [2] - Major tech companies, including Microsoft and Google, are actively negotiating for more DRAM and high-bandwidth memory (HBM) supplies to meet their AI needs [2] - NVIDIA's CEO Jensen Huang predicts that the market for AI-related data storage will become one of the largest globally, necessitating a fundamental restructuring of storage technology [3][4] Group 2: XSKY's Strategic Positioning - XSKY has achieved over 50% growth in the past three years and has significantly increased its all-flash storage ratio to 35% [8] - The company has established 280 superclusters with over 10 PB capacity, demonstrating its capability to handle large-scale storage demands [8] - XSKY's AIMesh strategy focuses on creating a neutral and open data foundation to facilitate the efficient transformation of proprietary data into intelligence [10][36] Group 3: Technological Innovations - XSKY's AIMesh solution aims to overcome three major efficiency barriers in AI: IO wall, gravity wall, and memory wall [14][30] - MeshFS, a parallel file system developed by XSKY, addresses the IO wall by enhancing read and write bandwidth significantly [18][22] - MeshSpace provides a global non-structured data platform that allows seamless data flow and management across different storage types, enhancing operational efficiency [25][29] Group 4: Future Outlook - XSKY emphasizes the importance of maintaining a stable data foundation to support rapid advancements in computing power, adhering to the "data evergreen" philosophy [36][41] - The company aims to be a guardian of enterprise data assets while accelerating the AI journey for businesses, ensuring that proprietary data is effectively transformed into competitive advantages [38][41]