The growth of real-time AI inference and autonomous agents is forcing enterprise data centers to redesign core computing infrastructure. Unlike isolated training runs, continuous inference workloads require sustained memory bandwidth, high storage throughput, and reduced latency to handle millions of real-time queries across distributed environments.
Why it matters
Forces IT leaders to prioritize latency, memory bandwidth, and power efficiency over raw FLOPS when deploying inference.
Creates market opportunities for specialized memory, storage, and networking hardware built for distributed agentic workloads.
Source: technologyreview.com
