- Tech News & Insight
- September 25, 2025
- Hema Kadia
AI now depends as much on the network and interconnection layer as it does on GPUs, and this blueprint turns that reality into a repeatable design. Training has concentrated in a few massive regions, while inference is exploding at the edge and in enterprise colocation sites, creating a scale challenge the industry hasn’t codified until now. Zayo and Equinix are proposing a common model that aligns high-capacity transport, neutral interconnection hubs, and specialized training and inference data centers. The aim is to shorten time to market for AI services by providing reference designs that reduce trial-and-error across L1–L3, interconnection, and traffic engineering.

