Inside CENTRA: The Data Center Boom Has an Interconnection Problem. CENTRA Is Building the Answer.

By Bryson Hopkins & Jonathan Martone, Strategic Advisor, April 2026 

Something unprecedented is happening across the U.S. power and data center landscape. AWS, Microsoft, Google, Oracle, CoreWeave, Lambda, Tensor, Fluidstack, Nebius, and Core42 are all building campuses ranging from 300 MW to 6 GW. Every one of these hyperscale and neo-cloud operators is acquiring powered land at an extraordinary pace to deploy training and inference infrastructure at a scale the industry has never seen.

But building compute is only half the equation. The harder question is: Where does all of this new capacity interconnect, and how does it reach end users without introducing the very bottlenecks these investments are meant to eliminate?

The Topology Problem No One Is Talking About

In network architecture, a single point of failure is a non-starter. Availability zones, content delivery networks, internet exchanges, peering fabrics, and inference endpoints all require multiple deployment nodes to deliver the uptime and performance that enterprise and hyperscale clients demand.

Yet in several of the fastest-growing data center markets in the country, the interconnection layer remains dangerously concentrated. Columbus, Reno, and Minneapolis each have a single dominant interconnection provider. That served the market when workloads were centralized and latency tolerances were generous.

That era is over.

Inference Changes the Interconnection Calculus

Within the next three to five years, every major zip code in the U.S. will have inference compute deployed locally. Every central business district will require multiple decentralized interconnection hubs to serve real-time AI workloads with acceptable latency.

The math is straightforward. If you are running Claude, Grok, or any large-scale inference API from Columbus, you do not want your traffic backhauled to Chicago or Dallas before it hits a peering point. Every unnecessary hop adds latency. Every centralized choke point adds risk. For inference workloads where response times are measured in tens of milliseconds, the interconnection topology matters as much as the compute itself.

Demand Is Higher Than Ever for Local Interconnection Diversity

Applied Digital, EdgeConneX, and Vantage are building GW-scale campuses across these same regions. These facilities are engineered for next-generation rack densities — 135 kW to 600 kW per cabinet — to support upcoming silicon like NVIDIA’s Rubin architecture. They require facility-level coolant distribution units, creative thermal strategies including waste-water and ocean-water repurposing, and massive power delivery infrastructure.

All of that compute needs somewhere to interconnect. Carriers, hyperscale operators, and AI-native cloud providers require multiple interconnection nodes in each market to build resilient, low-latency network architectures. A single hub — no matter how well-operated — creates a topology risk that sophisticated operators will not accept.

CENTRA’s Strategic Position

This is the gap CENTRA is building into. Right now, we are developing carrier-neutral interconnection hubs in markets where the existing infrastructure cannot support the diversity requirements of next-generation compute.

Consider the use case directly: Let’s say you are a leading GPUaaS company and you need to deploy your S3-compatible storage, peering fabric, and CDN interconnection in Columbus and Minneapolis to deliver a competitive end-user experience. You need local paths to eyeball networks, enterprise on-ramps, and cross-connects to adjacent cloud providers - without the hops, jitter, and latency that come from routing through a distant metro.

CENTRA is not displacing incumbent providers. We are adding the diverse interconnection nodes the market structurally requires. When a region goes from one interconnection hub to two, the entire ecosystem benefits: carriers gain routing flexibility, enterprises gain redundancy, and AI operators gain the local peering density they need to serve distributed inference at scale.

Playing Chess, Not Checkers

The hyperscale buildout is a land grab. The interconnection play is chess. Every new campus in a secondary market creates downstream demand for local peering, exchange, and transit infrastructure. CENTRA is positioning interconnection capacity in these markets now — ahead of the demand curve — so that when the compute comes online, the network fabric is already in place.

Columbus. Reno. Minneapolis. These are not secondary markets anymore. They are the next tier of critical digital infrastructure. And they need interconnection architecture that matches the scale of what is being built around them.

CENTRA is building the interconnection layer the AI economy demands. Ready to explore what diverse interconnection looks like in your market? Let’s talk.