AI and cloud growth have made power the binding constraint on data centers. This planner sizes the power, solar, and storage a hyper-scale facility needs, and shows how much of its load clean energy can actually cover.
It connects the data-center boom to the energy-abundance story: the same cheap power that unlocks space also decides where and how big data centers can be.
The planner converts IT load into total facility power using an overhead factor, then compares that demand against solar generation and storage to compute the clean-energy share. Storage is what lets daytime solar cover night load, so it strongly affects the result.
It makes explicit the trade every hyper-scaler faces: oversize solar and storage to run clean, or lean on the grid — a decision that abundant, cheap solar increasingly tips toward the former.
A large AI campus with strong solar and storage can cover most of its round-the-clock load from clean power, with the remaining shortfall shrinking as you add storage — the same overbuild logic that powers a self-sufficient base.
IT load is the compute draw; facility power adds cooling and overhead via a multiplier.
It shifts daytime solar to cover night load, raising the clean-energy share.
No — it's a generic sizing model with adjustable assumptions.
No — a first-order planning estimate.
Yes — 25 languages, browser-based.