Why Not All Data Centers Are Created Equal

Wes Gilmer said it plainly: "Not all data centers are created equal." It sounds obvious, but the more you dig into how data center development actually works — site selection, infrastructure access, power sourcing, long-term operating costs — the more you realize most people building and buying these assets aren't treating that statement seriously enough.

Gilmer's Zydeco Development is putting 40 acres to work at 450 Ed Schmidt Blvd., and the project is a useful lens for understanding what separates a data center that performs and holds value from one that becomes a liability inside a decade.

What "Quality" Actually Means in a Data Center

The word "quality" gets thrown around loosely in infrastructure development. In data centers, it has a precise meaning — and it's not about aesthetics or brand names on the equipment.

Quality in a data center is fundamentally about reliability, efficiency, and future-proofing — three things that are determined largely before a single foundation is poured.

The industry uses a tiered classification system (Tier I through Tier IV, developed by the Uptime Institute) to define reliability. A Tier I facility offers 99.671% uptime availability — which sounds impressive until you realize that translates to roughly 28 hours of potential downtime per year. Tier IV, by contrast, targets 99.995% uptime, or about 26 minutes annually. For a hyperscaler or a financial services firm, that gap isn't a footnote — it's an existential risk calculation.

Beyond tier classification, quality is shaped by power density capacity, cooling infrastructure design, physical security posture, and — increasingly — the carbon intensity of the energy supply. A facility that can't support 20+ kW per rack as AI workloads push power density higher isn't just inconvenient; it's obsolete on arrival.

The Five Factors That Make or Break a Data Center Location

Site selection is where most data center development decisions get made — and most mistakes get locked in. Here's what actually moves the needle.

1. Proximity to Power Infrastructure

This is the dominant factor, full stop. Data centers are among the most power-hungry assets in commercial real estate. A mid-scale 40-acre campus can consume anywhere from 40 MW to well over 100 MW depending on design density. Getting that power to the site requires proximity to high-voltage transmission infrastructure and a utility partner willing to commit capacity.

Locations that look attractive on paper — cheap land, good road access — can become expensive dead ends when the nearest substation is miles away and the interconnection queue stretches years into the future. The interconnection backlog in the U.S. has grown so severe that some developers are waiting four to six years for grid connection approvals, a timeline that can kill project economics entirely.

2. Access to Renewable Energy

Hyperscalers have made 24/7 carbon-free energy a procurement standard, not an aspiration. Google, Microsoft, and Amazon have all committed to matching their power consumption with clean energy on an hourly basis — not just annual averages. That shifts the calculus for data center location dramatically.

Markets with abundant wind, solar, or hydroelectric resources aren't just environmentally preferable — they're commercially necessary for attracting the tenants who sign the largest leases.

3. Network Connectivity and Fiber Density

Latency is physics. A data center serving financial markets or content delivery networks needs to be within measurable milliseconds of its end users and interconnection points. Fiber density — the number of carriers and routes available at a given location — determines both resilience and competitive pricing for bandwidth.

Single-carrier locations are a risk. Every fiber cut becomes a crisis. The best data center locations sit at natural fiber crossroads, offering redundant routes and carrier competition that keeps bandwidth costs rational.

4. Climate and Natural Hazard Profile

Cooling accounts for roughly 30-40% of a data center's total energy consumption. Locations with naturally cool climates — northern latitudes, high elevations — offer significant PUE (Power Usage Effectiveness) advantages that compound over the life of a facility. A data center running a PUE of 1.2 versus 1.6 isn't a marginal difference; at scale, it represents millions of dollars in annual operating costs.

Flood plains, seismic zones, and hurricane corridors are self-explanatory risk factors. Less obvious are locations near industrial facilities with airborne particulate contamination or areas prone to wildfire smoke, which can compromise air-cooled systems.

5. Regulatory Environment and Tax Incentives

Several states have built genuine competitive advantages through data center-specific tax exemptions — on sales tax for equipment, property tax abatements, and accelerated permitting. Virginia, Texas, Georgia, and Nevada have attracted disproportionate data center investment partly on the strength of their incentive structures. A 10-15% reduction in capital deployment costs through incentives isn't just helpful; it can determine whether a project underwrites at all.

The Cost Equation: Why Cheap Land Can Be the Most Expensive Decision

Developers chasing low land costs without accounting for total infrastructure investment often end up worse off than those who paid more for better-positioned sites.

Consider the math: if a site requires $15 million in off-site infrastructure work — new transmission lines, substation upgrades, fiber extension — to access power and connectivity, that cost is real whether or not it shows up in the land acquisition price. A more expensive parcel with existing infrastructure access may carry lower total development costs and substantially faster time-to-revenue.

The projects that underperform expectations almost always have one thing in common: infrastructure costs that weren't visible at the time of site selection.

Time-to-power is now arguably the most important factor in data center site selection. In a market where AI infrastructure demand is outpacing supply, every month of delay in energizing a facility is revenue left on the table — and potentially a tenant lost to a competitor who could deliver faster.

Where Data Center Development Is Heading

The technology and economics of data center development are shifting faster than most of the real estate industry realizes.

Liquid cooling is moving from niche to standard. As AI accelerators like Nvidia's H100 and B100 GPUs push rack densities toward 100 kW and beyond, air cooling simply can't keep up. Facilities being designed today that don't account for direct liquid cooling infrastructure are already behind the curve. This changes site selection too — water availability and water rights become material considerations in ways they weren't for traditional air-cooled facilities.

Edge computing is creating demand for smaller, distributed facilities in markets that conventional data center development has ignored. A 2-5 MW edge facility serving a mid-sized metro isn't competing for the same tenants as a hyperscale campus, but it fills a real latency gap that centralized facilities can't close.

Sustainability requirements are tightening across the board. The SEC's climate disclosure rules, corporate net-zero commitments, and emerging regulatory frameworks in the EU are pushing operators to document and reduce Scope 2 emissions from their data centers. Facilities that can demonstrate genuinely low-carbon power — not just renewable energy certificates, but actual clean energy delivery — will command premium positioning in tenant negotiations.

And the capital stack is evolving. Institutional investors who once viewed data centers as exotic alternatives have moved them into core infrastructure allocations. That brings more capital but also more rigorous underwriting standards — which means development projects that can't clearly articulate their location thesis, power strategy, and sustainability profile will find financing harder to secure.

Making the Right Call

The 40-acre Zydeco Development project at 450 Ed Schmidt Blvd. is a reminder that data center development is fundamentally a site selection discipline dressed up in technology. The decisions made before construction begins — about power access, connectivity, cooling strategy, regulatory context, and long-term tenant fit — determine the vast majority of a project's ultimate success or failure.

For developers, investors, and landowners evaluating data center opportunities: start with power and work backward. If the energy supply picture isn't compelling — in terms of capacity, reliability, cost, and carbon profile — no amount of favorable land pricing fixes the problem downstream.

The facilities that will anchor the next decade of digital infrastructure aren't the ones built cheapest or fastest. They're the ones built right, in the right places, with the infrastructure foresight to serve workloads that don't fully exist yet.

Explore the InfraSale Marketplace for more insights and opportunities.

[INTERNAL LINK: data center development]

[INTERNAL LINK: infrastructure access]

[INTERNAL LINK: renewable energy solutions]