The Edge Network Effect: Building AI Infrastructure That Spans Markets, Not Just Facilities
By James Ashton, Vice President of Network Operations
Artificial intelligence is reshaping data center demand, pushing beyond traditional centralized facilities toward distributed, high capacity, highly interconnected, edge networks. What we’re seeing is an “edge network effect” – where interconnected infrastructure across multiple markets multiplies performance, reduces latency, and scales AI workloads efficiently. At 365 Data Centers, our nationwide footprint enables these demanding workloads, turning isolated sites into a cohesive AI backbone.
Why Edge Matters for AI
AI applications, from real-time inference to generative models, require ultra-low latency and massive bandwidth that single facilities struggle to deliver alone. Processing data closer to the user via edge computing cuts delays, which is vital for autonomous systems, smart cities, and enterprise analytics. McKinsey notes that telcos’ edge assets will drive this shift toward enabling the AI era. Centralized clouds struggle; edge networks distribute compute where data is accessed, slashing transport costs and boosting responsiveness.
Our experience mirrors this. In partnerships like DE-CIX Chicago deployment, we enabled peering that extends connectivity across Midwest markets. Supporting the interconnection ecosystem brings us these benefits throughout the world.
The Power of Interconnected Markets
365 Data Centers operates 16 facilities in major and emerging U.S. markets, with 70-plus points of presence (PoPs), creating a low-latency fabric with high levels of interconnection that is ideal for AI. Our new AI-enabled platform integrates colocation, cloud, and networking with an intelligence layer for small-language models and business intelligence, optimized at the edge.
This spans markets; you can deploy in Chicago for Midwest AI workloads, sync with New York or Dallas via redundant fiber, and achieve 99.999% network uptime SLAs. Dark fiber and 86-plus carrier-neutral providers support hybrid AI, with Deloitte forecasting edge AI at $270 billion by 2032.
Lessons from 5G and Beyond
Drawing from 5G preparations, where we scaled edge for IoT and low-latency apps, AI demands similar evolution. Then, we modernized cabling, SDN, and security; today, it’s AI-specific: governed private clouds, redundant power (100% uptime SLA), and carrier-neutral ecosystems with 86-plus providers.
In a 2025 HostingAdvice.com interview, I noted network automation’s role in AI infrastructure, echoing how automation streamlines edge orchestration across facilities. This “edge network effect” emerges: More interconnected sites yield exponential value, like cheaper peering and resilient disaster recovery.
The Future of AI at the Edge
Organizations should prioritize multi-market providers with integrated AI-ready platforms. At 365, one contract covers colocation, connectivity, and dedicated sovereign AI – all with 24/7 support. Spanning markets equips enterprises for AI, as data centers triple to 200-plus GW globally by 2030, according to McKinsey.
The edge network effect isn’t hype; it’s infrastructure reality. By spanning markets, not just facilities, we’re equipping enterprises for AI’s demands. Connect with us at https://365datacenters.com/contact/ to architect yours.