Designing Enterprise AI Infrastructure: Lessons From Hyperscaler AI Networks

This Gartner report examines how hyperscalers have redefined AI data center networking and identifies architectural and operational practices enterprises can adopt to improve AI infrastructure outcomes. The research outlines why networking has become the primary constraint on AI performance, the importance of reliability and goodput, and the role of dedicated AI fabrics, Ethernet-based scale-out architectures, observability, and workload-aligned network design. Organizations will gain practical guidance on improving AI infrastructure efficiency, resilience, scalability, and operational effectiveness.