Core Insights - The report from Tianfeng Securities highlights the emergence of "storage-based computing" as a disruptive technological paradigm to overcome computing bottlenecks and storage limitations [1] - This technology shifts vector data (such as KVCache) from expensive DRAM and HBM memory to large-capacity, cost-effective SSDs, representing a strategic expansion of the storage layer rather than a simple replacement [1] - The core value of this approach lies in significantly reducing token latency, enhancing inference throughput, and optimizing end-to-end inference costs, providing a feasible path for large-scale AI deployment [1] - The AI storage revolution is underway, with "storage-based computing" creating core opportunities that substantially reduce computing power consumption and accelerate AI inference, leading to a demand growth for SSDs that exceeds traditional growth curves [1]
天风证券:AI存储革命已至 “以存代算”开启存储新纪元