As AI workloads scale, data movement increasingly defines system behavior. The network on chip is no longer just connectivity, but a first order architectural decision that shapes performance, power efficiency, and late stage risk.

This white paper examines how NoC design choices intersect with workload characteristics, coherency models, physical partitioning, and power management in modern AI SoCs, with a focus on practical tradeoffs rather than idealized architectures. 

It is based on a technical webinar co-hosted by Aion Silicon and Arteris, and moderated by SemiWiki.

In the white paper, Considerations When Architecting Your Next SoC: NoC, you’ll find:
– Why NoC decisions have changed for AI workloads
– How coherency and traffic patterns influence system behavior
– A structured approach to reducing late stage physical and verification risk