Water usage is the metric that gets far less attention than PUE, yet it matters enormously in water-stressed regions where a facility’s cooling design has real community impact.
The economics of data center capacity have changed faster in the last two years than in the previous decade. Anyone evaluating their options today is working in a genuinely different market.
A practical way to evaluate
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.
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.
What good looks like in practice
Good facilities make the boring things boring: predictable billing, clear escalation paths, and remote-hands requests that get done on the timeline promised, not the timeline hoped for.
The strongest operators are transparent by default — uptime history, incident reports, and maintenance schedules are available without a special request. That openness is itself a signal worth weighing.
Planning for what comes next
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.
Term length is a lever worth pulling thoughtfully. Longer commitments unlock materially better rates and, increasingly, priority access to scarce capacity — but only commit ahead if you are confident in the trajectory.
Why it matters now
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 — particularly high-density capacity — increasingly needs to be reserved well ahead of when you actually need it.
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.
A short checklist before you sign
- Clarify remote-hands response times and what is included versus billed separately
- Request recent incident reports, not just a summary uptime percentage
- Map the network ecosystem: carriers, internet exchanges, and cloud on-ramps
- Confirm the certifications your industry and customers actually require
- Ask what happens operationally when a single system fails, not just what the tier rating implies
The bottom line
The good news is that you do not have to navigate it alone. With the right data and the right guidance, what feels like a daunting decision becomes a structured, confident one.