Core Viewpoint - The demand for memory bandwidth and capacity is continuously increasing in the AI era, highlighting mismatches between memory supply and computational node demand, as well as low memory utilization efficiency. CXL technology is expected to build memory pools, achieving "storage-compute decoupling" and increasing penetration rates as the CXL ecosystem matures [1]. Group 1: CXL Technology and Ecosystem - Server-grade CPUs are increasingly adapting to the CXL protocol, with Intel and AMD releasing CPUs that support CXL 2.0. SK Hynix and Samsung are actively developing and mass-producing CXL-compatible memory modules. Alibaba Cloud, in collaboration with Intel, has launched the world's first server dedicated to PolarDB databases based on CXL 2.0 Switch technology [1]. - CXL technology addresses the "storage-compute imbalance" in the AI era by constructing memory pools, allowing for unified pooling of memory resources across CPUs, accelerators, and storage devices, thus enabling efficient cross-device collaboration and resource optimization [1]. - CXL technology allows for memory capacity expansion beyond local memory by over 10 times through memory expanders, meeting memory demands without increasing the number of physical servers [1]. Group 2: Future Demand and Investment Recommendations - By 2030, the demand for CXLSwitch and CXLMXC chips is expected to significantly increase, with optimistic projections estimating demand to reach 70.6 million and 64.52 million units, respectively [2]. - Investment recommendations include关注澜起科技 (CXLMXC chip supplier), 江波龙 (301308) (CXLAIC expansion card supplier), 佰维存储 (CXL 2.0 DRAM memory expansion module supplier), and 聚辰股份 (CXL module VPD chip supplier) [2].