The AI boom has brought a lot of vendors claiming data center expertise. Most have zero experience with GPU-dense compute.
Real AI data center builders have recent hyperscale or colocation experience (last 3 years). They should be able to reference projects over 5 MW with liquid cooling systems. Ask for: (1) PUE targets they've delivered (under 1.3 is credible for modern facilities), (2) Rack density maximums (40+ kW/rack is GPU territory), (3) Utility coordination experience (medium voltage, substation tie-ins), (4) Commissioning process for high-density compute loads. If they've only done enterprise IT or telecom, they're learning on your dime.
Watch for design-build firms vs general contractors. Design-build integrates engineering into construction, which is critical for fast-moving requirements. General contractors coordinate subs but often lack in-house engineering depth. For AI compute, you want design-build with MEP (mechanical, electrical, plumbing) engineering in-house. Ask how they handle change orders, long-lead procurement, and commissioning delays — those are where projects blow up.
Vet references hard. Call the project owners, not just the contractor. Ask: Did they deliver on time? How many change orders? Were there post-commissioning issues? How did they handle unexpected site conditions? What's their spare parts and warranty support like? A good builder will give you references who are happy to talk. A bad one will dodge or give you cherry-picked examples.
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Text PJ: 773-544-1231AI compute infrastructure is moving fast. Companies are making expensive mistakes by committing to solutions before understanding their actual requirements. Good decisions come from understanding power, cooling, redundancy, and execution quality — not just hardware specs.