Sense & connect
Collect metering, asset condition, weather and operational data with timestamps, ownership and quality controls.
THE CONNECTED SYSTEM
Two directions.
One energy challenge.
AI can help interpret complex energy data. The infrastructure running AI also needs dependable power, cooling and grid access.
Model & forecast
Use validated models to explore demand, renewable output and asset risks. Compare against simple baselines and monitor drift.
Decide & act
Provide explanations and confidence intervals to operators. Safety-critical actions require engineering validation and operating authority.
ENERGY FOR AI
From digital workload
to facility demand.
IT nameplate load is only the beginning. Average load, runtime and facility overhead determine the electricity scenario. PUE relates total facility energy to IT energy over a consistent measurement boundary.
Grid connection capacity, redundancy and backup generation require separate engineering studies. Annual energy arithmetic does not demonstrate connection feasibility.
Model a facility scenario →Questions before deployment
- What is the measured load profile?
- Where are data and models hosted?
- Who approves operational decisions?
- How will performance be validated?
- What are the grid and cooling constraints?