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Analysts urge enterprises to rearchitect memory and storage for AI inference

Tirias Research founder Jim McGregor argues that AI is not one workload but millions of varied ones, meaning data centers can no longer treat memory and storage as secondary hardware. He says inference and agentic AI demand purpose-built systems capable of continuous, real-time data ingestion, caching, and movement rather than legacy infrastructure designed for training workloads.