TL;DR: best data center interconnection markets in 2026
| Market | Best for | Quick list hint |
|---|---|---|
| Northern Virginia | Best for cloud-adjacent scale and East Coast data center gravity | Shortlist when cloud proximity, carrier density, and hyperscale ecosystem depth matter, but verify power and vacancy. |
| Dallas-Fort Worth and Texas | Best for central U.S. reach and expansion optionality | Shortlist when long-haul routes, land, power strategy, and national reach need to balance. |
| Chicago | Best for Midwest route optionality | Shortlist for long-haul route crossings, enterprise reach, and Midwest cloud or data movement. |
| New York and New Jersey | Best for financial, enterprise, and latency-sensitive adjacency | Shortlist when carrier density, cloud access, and Northeast enterprise proximity matter. |
| Atlanta | Best for Southeast reach and regional campus growth | Shortlist for Southeast enterprise access, fiber route options, and capacity alternatives outside the largest constrained hubs. |
| Los Angeles and Silicon Valley | Best for West Coast peering and cloud/content ecosystems | Shortlist when West Coast exchange access, cloud adjacency, and content-heavy traffic matter. |
| Columbus and Central Ohio | Best for Midwest cloud on-ramp and secondary-market evaluation | Shortlist when cloud connectivity and lower-congestion market alternatives are part of the plan. |
| Phoenix | Best for western expansion diligence | Shortlist when western latency, land, and capacity alternatives matter, while verifying power, water, and fiber diversity. |
This is a fit-based shortlist, not a universal ranking. The best market changes by workload, cloud region, traffic pattern, power strategy, and whether the buyer needs colocation interconnection or a new AI campus.
How should buyers use an interconnection market list?
Use the market list to decide where to investigate, not where to buy sight unseen. A strong interconnection market should make it easier to connect to carriers, cloud on-ramps, internet exchanges, adjacent data centers, and long-haul routes. It still may be a poor choice if power is unavailable, vacancy is near zero, cross-connect economics are unfavorable, or the target facility lacks the specific providers the workload needs.
| Buyer priority | Market signal | What to verify |
|---|---|---|
| Cloud adjacency | Direct or software-defined cloud access inside carrier-neutral facilities | Cloud provider, region, bandwidth limits, provisioning time, and billing model. |
| Carrier density | Many network providers and cross-connect options | Actual carrier list, meet-me-room access, cross-connect pricing, and install interval. |
| Long-haul diversity | Multiple physically diverse routes into and out of the metro | Route maps, shared-risk segments, maintenance terms, and alternate paths. |
| Internet exchange access | Public peering and exchange ecosystems | Exchange participants, route server policy, port speed, and traffic eligibility. |
| AI campus expansion | Power, land, fiber, and data center development pipeline | Utility interconnection, permitting, lateral construction, and commissioning risk. |
What makes an interconnection market useful for AI capacity?
AI capacity decisions add more pressure to the network layer because training data, storage, cloud control planes, inference endpoints, and enterprise applications may sit in different places. A market is useful when it gives buyers optionality: several carriers, diverse fiber paths, cloud connectivity, colocation choices, and a way to connect campus, cloud, and exchange traffic without forcing every flow onto public internet transit.
Power still comes first for many new campuses. The better question is not whether a market is connected or powered in the abstract, but whether a specific site can get enough power and enough fiber diversity on a timeline that matches the deployment.
Which diligence checks should happen before a market shortlist?
Ask each facility or campus seller for the carrier list, meet-me-room design, cross-connect pricing, cloud on-ramp availability, internet exchange access, fiber entrance diversity, utility status, available power, expansion rights, and known shared-risk route constraints. Then test the story with outside data: provider route pages, PeeringDB, public market reports, and direct carrier quotes.
Be especially careful with markets that look strong at metro level but weak at the exact address. A campus outside the main carrier hotel may need laterals, new conduit, construction permits, or separate cloud-connect handoffs before it performs like the market headline suggests.
Where do fiber providers and carrier-neutral data centers fit?
Fiber providers shape the route and transport layer. Carrier-neutral data centers shape the ecosystem layer. A buyer may need both: Zayo, Lightpath, FiberLight, AT&T, Lumen, or Crown Castle for metro and long-haul routes; Equinix, Digital Realty, CoreSite, or Cologix for cross-connects, cloud connectivity, internet exchange access, and dense network adjacency.
Do not treat provider presence in a metro as proof of fit. The actionable question is which providers are available at the selected building, which paths are physically diverse, which cloud and exchange services are live, and which services have procurement-ready terms.