A company hosting AI servers must choose between colocation offers, or between colocation, its own site and cloud. All claim to be AI-ready. The gaps show later: in the energy bill, cooling limits, or when moving to the next server generation.
DOES YOUR SITUATION LOOK LIKE ONE OF THESE?
We must choose between three hosting providers that all claim to be "AI-Ready". How do we compare?We are leasing 5 MW of colocation for GPU racks. The operator promises delivery in nine months. How do we check?We need to move from 10 kW racks to 60 kW GPU racks in an existing data hall.
Anis MokdedDesign, commissioning & operations
WHAT WE DO
From requirements to decision
Needs: power, rack density today and in three to five years, availability, location, latency
Requirements and provider tender
Comparison grid: proven, merely promised, still to verify
Technical visits of shortlisted sites
Total cost over the contract: energy, cooling, upgrades, exit terms
Written recommendation and points to negotiate
Requirements and provider tender
Comparison grid: proven, merely promised, still to verify
Technical visits of shortlisted sites
Total cost over the contract: energy, cooling, upgrades, exit terms
Written recommendation and points to negotiate
See "AI-Ready": ten questions to ask before signing and pre-lease audit. We are paid only by the client company, never by providers.
FREQUENTLY ASKED QUESTIONS
What does "AI-Ready" mean for a data center?
There is no shared definition. Bring the label back to concrete parameters: power per rack, cooling, available power and date, ability to evolve.