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对话独角兽 | 英韧科技深耕国产存储:自主技术破局,AI 存力抢先机
Di Yi Cai Jing· 2026-02-12 11:04
Core Insights - Yingrun Technology has developed a series of products tailored for various AI scenarios and is proactively advancing PCIe 6.0 controller research to meet the future demands of high-density AI data center deployments [1][6] - The global storage chip market is experiencing structural expansion opportunities driven by explosive data growth due to AI technology, while also entering a critical phase of domestic substitution [1][4] - Despite progress in technology and products, domestic storage enterprises face multiple challenges in scaling production and achieving profitability [7] Company Overview - Yingrun Technology, established in 2017, focuses on independent research and innovation in storage technology, with core products including SSD controllers, solid-state drives, and various storage system solutions [1][3] - The company has launched 10 controller chips, covering consumer, industrial, and enterprise markets, achieving full-stack coverage from SATA to PCIe 5.0 in the enterprise SSD sector, with a maximum single-disk capacity of 64TB [3][4] Supply Chain Strategy - Yingrun Technology has adopted a strategy of deep integration with domestic supply chains, collaborating with upstream and downstream companies, including Yangtze Memory Technologies, to benefit from the increasing proportion of domestic chip procurement [4][6] - In 2024, the domestic module manufacturers' procurement ratio of domestic chips exceeded 55%, enhancing supply chain stability and mitigating geopolitical risks [4] Technological Development - The company is addressing the new requirements for storage performance, latency, and durability driven by AI applications by launching the "Dongting" series AI SSDs, featuring a flagship product with a random write latency as low as 4μs and a 4K random write performance of 1600K IOPS [6][7] - Yingrun Technology is exploring advanced process technologies and has laid out plans for PCIe 6.0 controller development to meet future AI data center needs [1][6] Industry Challenges - The domestic storage industry still faces technical shortcomings, with the yield rate of domestic DDR5 storage chips at approximately 65%, significantly lower than Samsung's 85% [5] - The transition from laboratory to mass production and from mass production to profitability presents significant challenges, particularly in high-reliability AI storage scenarios [7] - Achieving compatibility and long-term reliability in the enterprise storage market remains a barrier for domestic products to enter core data centers [7]