Edge colocation trades the economies of scale of a large campus for proximity to end users, a trade-off that makes sense once latency becomes a competitive differentiator rather than a nice-to-have.
Behind every application your customers touch sits a physical building full of power, cooling, and fibre. The choices made about that building quietly shape performance, cost, and risk.
Why it matters now
The market has split in two. Standard enterprise workloads still run comfortably at three to five kilowatts a rack, while accelerated-compute deployments are pushing twenty, fifty, even a hundred kilowatts. Those two worlds are priced and provisioned very differently, and conflating them is a common and expensive mistake.
Power has overtaken floor space as the binding constraint in most primary markets. Vacancy rates have fallen to record lows, and the practical effect is that capacity β particularly high-density capacity β increasingly needs to be reserved well ahead of when you actually need it.
Where buyers get it wrong
Underestimating growth is more common than overestimating it. Teams that lock in exactly what they need today frequently find themselves negotiating from a weaker position twelve months later, once the facility has less spare capacity to offer.
Treating tier level as a proxy for reliability is a common shortcut that backfires. Design tier describes redundancy on paper; actual uptime depends on maintenance discipline, staffing, and how the facility has behaved under real incidents.
Planning for what comes next
Term length is a lever worth pulling thoughtfully. Longer commitments unlock materially better rates and, increasingly, priority access to scarce capacity β but only commit ahead if you are confident in the trajectory.
Geography is strategy. Where your data physically sits affects latency, sovereignty, and resilience. Spreading critical workloads across regions is no longer just for the largest enterprises.
A practical way to evaluate
Model the whole cost, not the monthly line. Setup fees, cross-connects, bandwidth, growth headroom, and exit terms all belong in the comparison. The cheapest rack rate is rarely the cheapest deployment.
Then shortlist on objective data and validate with your own eyes. Marketplace intelligence is excellent for narrowing the field quickly, but a site visit and a couple of reference calls will tell you things no datasheet can.
A short checklist before you sign
- Ask what happens operationally when a single system fails, not just what the tier rating implies
- Total the full cost of ownership, including the fees that hide in the small print
- Leave headroom for growth, including higher-density racks down the line
- Map the network ecosystem: carriers, internet exchanges, and cloud on-ramps
- Request recent incident reports, not just a summary uptime percentage
The bottom line
There is no shortcut that replaces doing the homework, but there is a real payoff for doing it well: fewer surprises, better terms, and a partner that fits for the long run.
