Make existing capacity work for your operating environment.
Start with the constraints that matter to your facility, your customers, and your workloads.
Unlock usable capacity without compromising operational control.
Bring power, cooling, and compute into the same capacity discussion. Evaluate unused headroom against reliability requirements and use ShadowMode’s observation-first approach to guide adoption.
- Identify where conservative buffers limit utilization.
- Connect capacity planning to actual operating constraints.
- Review proposed changes before production action.
Turn available infrastructure into sellable AI capacity.
Evaluate where existing power and cooling could support additional tenant demand. Connect utilization and capacity planning to the value of each megawatt, while respecting tenant commitments.
Assessment priorities: tenant headroom, revenue per megawatt, site-level constraints, and the data needed for multi-site capacity planning.
Coordinate facility capacity with changing workload demand.
Evaluate GPU demand alongside power and thermal headroom. Infrastructure-aware placement decisions must account for available compute, workload requirements, and changing facility conditions.
- Relate GPU availability to facility capacity.
- Evaluate workload placement within power and cooling limits.
- Account for thermal changes as demand shifts.
How much AI capacity is already inside your facility?
Start with a modeled capacity assessment. Explore how your facility inputs affect the estimated opportunity, then use the assumptions to guide deeper measurement.
