智通财经网·2025-12-16 08:13Core Insights - The report from GF Securities highlights the significant growth potential in the AI storage sector driven by advancements in AI models and capital expenditures (CAPEX) [1] - AI-driven storage prices are on the rise, leading to improved gross margins for manufacturers, with DRAM and NAND architecture upgrades creating new equipment demand [1] - The storage foundry model is poised for transformative opportunities within the industry, with new interface chips like MRDIMM and VPD opening up additional market space [1] Group 1: AI and Storage Growth - Storage serves as the "tokens" for AI, with inference driving rapid growth in AI storage [2] - AI servers utilize storage types such as HBM, DRAM, and SSD, characterized by decreasing performance, increasing capacity, and lowering costs [2] - The demand for storage capacity is expected to surge to hundreds of exabytes (EB) due to the rapid growth in AI inference requirements [2] Group 2: Market Opportunities - The eSSD market for AI and storage servers is expanding due to the increasing demand for high bandwidth and large capacity driven by long-context inference and RAG databases [2] - MRDIMM is anticipated to enhance large model inference by providing deterministic gains and optimizing CPU-GPU memory orchestration [2] - The DDR5 SPD market is rapidly developing, driven by higher specifications and prices compared to the DDR4 generation, while SSD upgrades are expected to create growth opportunities for VPD [2] Group 3: CXL Technology Impact - CXL technology facilitates storage pooling, significantly enhancing computational efficiency and providing a total cost of ownership (TCO) advantage in KVCache-intensive inference [3] - Companies like NVIDIA and Alibaba Cloud are investing in CXL capabilities to improve inference throughput and performance [3] - The CXL protocol is increasingly penetrating the AI sector, driving demand for chips and positioning CXL interconnect technology as a key player in AI applications [3]