From Data Lake to State Lake: Redesigning Storage Infrastructure for the Agent Era
The article analyzes how the rise of AI agents transforms storage needs from massive, static data lakes to fast, state‑centric lakes, outlining three workload phases, new storage paradigms, and the three pillars—Sandbox Store, Artifact Store, and Agent Observation & Evaluation—that enable scalable, low‑latency, and observable agent execution.
