Capacity optimization for AI infrastructure

Get more AI computing from the power you already have.

GridFlexAi turns power telemetry, workload flexibility, and grid signals into a safer capacity plan—so data center operators can make the next compute decision with context.

Planning recommendations only. Operators approve every workload or battery action.

North corridor · sample data

Capacity horizon

Within plan

Forecast peak

42.8 MW

18:30 local

Flexible queue

3.6 MW

Policy-approved

Recommendation: move two flexible training queues by 90 minutes to preserve a 2.1 MW operating buffer.

The capacity problem

More demand, same interconnect, less room for guesswork.

01

Power operations and compute scheduling plan around different signals.

02

Peak risk can strand useful capacity before an expansion is ready.

03

Utilities need a credible view of flexible load—not a late surprise.

One planning system

A capacity platform, not another dashboard.

A single operating language connects the power you have, the work you can move, and the capacity decision ahead.

01

See the operating envelope

  • Real-time power monitoring
  • Peak-demand prediction
  • Grid-stress alerts
  • Grid-capacity forecasting

02

Plan flexible capacity

  • Workload shifting
  • Cost optimization suggestions
  • Battery optimization
  • Multi-site workload routing

03

Coordinate the next decision

  • Expansion planning
  • Utility coordination reporting
  • Monthly savings audits
  • Continuous capacity-optimization loop

Two-sided coordination

From grid constraint to compute opportunity.

GridFlexAi gives data center operators a practical way to model flexible load while giving utility teams a consistent coordination view. Each team retains its own controls and data boundaries.

Data center teams

See planned peaks, eligible workloads, site constraints, and expansion scenarios.

Utility partners

Receive structured flexibility reporting and a shared view of planning assumptions.

Coordination signal · sample

Utility outlook

Moderate stress

Facility flexibility

3.6 MW eligible across two policy-approved queues

Shared planning window

18:00–20:00 local · recommendation ready for operator review

Capacity becomes a conversation, not an incident.

Demoable workflows

Work through the next capacity decision.

Open the sample console
01Peak prediction
02Workload shifting
03Cost optimization
04Emergency load reduction
05Battery dispatch
06Multi-site routing
07Expansion simulation
08Utility reporting
09Monthly savings audits
10Capacity optimization loop

Start with the capacity you have

Request a capacity assessment.

Tell us about the facility decision in front of you. We’ll use that context to frame a planning conversation—not a generic demo.

Peak and flexibility planning

Battery and site-routing scenarios

Utility coordination readiness

    GridFlexAi | Capacity optimization for data centers