Subsea cable landing points are not just a network engineering detail — they quietly shape which metros become colocation hubs in the first place, since dense international connectivity tends to concentrate demand nearby.
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.
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.
The factors that actually move the needle
Headline pricing is the least reliable basis for comparison. Two facilities quoting similar rates can differ enormously once you account for power redundancy, cross-connect fees, remote-hands rates, and the small print around escalations and renewals.
Tier classification tells you what a facility was designed to do, not how well it is run. A well-operated Tier III site routinely outperforms a poorly managed Tier IV one on the metric that matters: real-world availability.
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.
Where buyers get it wrong
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.
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.
A short checklist before you sign
- Request recent incident reports, not just a summary uptime percentage
- Total the full cost of ownership, including the fees that hide in the small print
- Ask what happens operationally when a single system fails, not just what the tier rating implies
- Clarify remote-hands response times and what is included versus billed separately
- Leave headroom for growth, including higher-density racks down the line
The bottom line
The teams that get this right are rarely the ones with the most resources — they are the ones who asked better questions earlier in the process.