The enterprise AI landscape has evolved from experimental prototypes to production-grade systems, driving the emergence of a sophisticated, multilayered technology stack.
Understanding each layer and its constituent components is essential for architects building scalable AI systems. Hyperscalers — including Amazon, Microsoft and Google — are leading this category by delivering an end-to-end stack that spans accelerated compute to user experiences.
This architecture represents the convergence of infrastructure, intelligent orchestration…








