Latency-bound inference runs where the users are. ReadyInfra Digital Infrastructure develops mid-scale data centers at the metro edge—sited against measured fiber and a verified power path, delivered to a repeatable modular standard, and operated by the same team that builds them.
Capital and demand are both available. What the market cannot buy is time, and that constraint is what a development platform has to be engineered around.
Vacancy: JLL, North America Data Center Report, Midyear 2026. Interconnection wait: Lawrence Berkeley National Laboratory, Queued Up, 2026. Construction spending: US Census Bureau, Value of Construction Put in Place, revised series, August 2026.
Training can run anywhere power is cheap. Inference cannot—it answers a user in milliseconds, so the compute has to sit close to that user.
Sites are selected using measured fiber routes to the carrier hotels and exchanges that actually serve the metro, not straight-line distance on a map.
Every inference query is answered in milliseconds. Distance is not a tuning parameter—it is a hard limit on what the site can serve.
Multiple nodes per metro edge let a tenant expand inside the same latency zone instead of moving to a different market.
We build mid-scale inference nodes, with 5 to 50 MW as the optimal range rather than a fixed limit. The size is set by the latency envelope and the tenant profile, not by the economics of a hyperscale training campus.
Almost every campus built to date was designed for training. A data center takes years to deliver, so building inference capacity now means building ahead of the demand it will serve.
Abandoned and underused industrial facilities already carry the service, the gas, and the utility account. Bringing one of those buildings back skips the longest queue in the industry.
Industrial or commercial use is already established on the parcel, so no farmland is converted and no residential neighborhood is rezoned to accommodate the project.
An existing utility account and established service capacity change the question from “when can we get power” to “how much headroom is there and what does it cost to add more.”
Cleaned-up brownfields returned between $29 million and $97 million in local tax revenue across 48 sites in a single year, per EPA program studies. Towns treat that differently than they treat a greenfield rezoning.
Modular halls are commissioned in phases, so a site can carry revenue while later capacity is still being built out rather than waiting on a single completion date.
Queue wait: Lawrence Berkeley National Laboratory, Queued Up, 2026. Tax revenue: EPA Brownfields Program studies. Timelines vary by site and utility; allocated power remains subject to utility confirmation.
One team carries the project end to end. The group that underwrites the site is the group that operates it, which is what keeps the underwriting honest.
Powered land close to the market it serves, screened on measured fiber distance, existing utility service, substation headroom, water, zoning, and environmental condition.
Zoning, permitting, and utility or generation agreements carried in-house, alongside the community engagement that determines whether a project gets built at all.
Modular halls fabricated off site and phased in with demand. Footprint, cost, and schedule are known from the day the data room opens because the design set is fixed.
Rack-ready colocation for tenant hardware, with the density and power envelope specified before procurement rather than discovered during commissioning.
We operate what we build, to the same readiness standard our advisory practice applies for clients—gates, turnover evidence, qualified staff, and OT governance in place before first load.
One standard across sites means each project starts from the last one’s drawings, vendors, and procedures instead of from a blank page.
Three advantages that compound with every project rather than resetting at each one.
Most developers hand a finished building to somebody else and move on. ReadyInfra runs an operational readiness practice for other developers, and holds itself to the same standard. The operating cost and staffing load are in the model at underwriting, not discovered in year one.
The electrical grid is not the only queue. Transformers, switchgear, and generators all carry multi-year lead times, and a first-time buyer sits behind the hyperscalers. Leadership relationships and board experience across critical equipment suppliers improve procurement visibility and technical insight on lead times.
Community support decides whether a data center gets built. We publish the same plain-language label at every site—energy, water, carbon, noise, jobs, and local investment—so a town can read the numbers without an industry glossary.
Every operator measures efficiency, water, and carbon its own way, in terms that mean very little outside the industry.
Energy, water, carbon, noise, jobs, and community investment, each stated in plain terms and reported on the same schedule at every site we run.
Community support decides whether a project gets built today. Faster entitlements, fewer stalled projects, and durable relationships with host towns are what transparency actually earns.
These are the parameters a parcel has to clear before it reaches underwriting. They are also the screen we apply on behalf of diligence clients.
ReadyInfra Digital Infrastructure is led by the firm’s two Managing Partners.
20+ years in mission-critical operations, design, energy & sustainability — from Tier IV facilities to hyperscale campuses as EVP of Operations at CloudHQ. Prior leadership roles at Fidelity, Deutsche Bank, and JLL.
27+ years building data centers, from hyperscale campuses to emerging compute architecture. Board director, global keynote speaker, and co-founder of the Nomad Futurist Foundation.
Whether you are placing capital into edge infrastructure, bringing a powered site to the right developer, or need independent diligence on an asset under contract—start a conversation.