Reshaping Storage for AI Agents: SSDs Evolve into Memory and Decision Hubs
新智元 · wechat · 2026-08-10
The article argues that AI Agents are transforming computers into continuously running systems, requiring storage to evolve from a passive endpoint into an active part of the Agent's perception, memory, and decision loops. Future functional SSDs will integrate encryption, compression, vector indexing, and lifecycle management directly at the hardware level to reduce token costs and boost inference efficiency.
The evolution spans both edge and cloud architectures:
- Edge: SSDs will act as the long-term state layer for personal Agents, maintaining local models and memory offline, eventually scaling into small private AI storage nodes for homes or enterprises.
- Cloud: SSDs will transition into complex Agent storage nodes, forming a tiered architecture with HBM, HBF (High Bandwidth Flash), and DRAM/CXL. Business models will shift toward billing based on effective tokens and retrieval throughput.
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