GoKawiilAnalysis urges IT leaders to design AI serving infrastructure around workload needs
A technology commentary argues that production AI performance depends less on which foundation model is chosen and more on the serving harness around it—the architecture, memory management, scheduling and optimization that turn model intelligence into a working service. It recommends that organizations define latency, concurrency, cost and traffic requirements first, then select models and infrastructure to match, rather than defaulting to the highest-accuracy model.