DATA CENTER POWER
FRONTIER AI SCALE sovereignagentics.io
Hyper-Scale Data Center Power Planner
GPU count → firm solar + Megapack storage for 24/7 AI clusters. Same physics as the Global Solar Overbuild Calculator.

Cluster Inputs

Results — Solar + Storage Sized for 24/7

🌍 Earth Solar + Megapacks

🪐 Space-Based Alternative

What this means for AI infrastructure

About the Hyper-Scale Data Center Power Planner

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.

How to use it

  1. Enter your target IT load and utilisation.
  2. Set solar capacity and storage assumptions.
  3. Run the planner to read total power demand and the solar/storage split.
  4. See what fraction of load is met by clean energy and the shortfall to cover.

How it works

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.

Worked example

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.

Frequently asked questions

What is IT load versus facility power?

IT load is the compute draw; facility power adds cooling and overhead via a multiplier.

Why does storage matter so much?

It shifts daytime solar to cover night load, raising the clean-energy share.

Is this vendor-specific?

No — it's a generic sizing model with adjustable assumptions.

Engineering-grade?

No — a first-order planning estimate.

Free and multilingual?

Yes — 25 languages, browser-based.

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