[ Service ]
Campus Data Centers
AI compute on university and institutional land, with its own power — and heat, water and skills returned to the campus.
[ Overview ]
A campus already holds much of what a distributed AI facility needs: land, a heating loop, fibre, a stable host and its own demand for compute. We arrange the financing and plan the facility around the campus rather than beside it — power generated on site so it does not wait in a utility queue, recovered heat into the campus loop, and students and trades trained on the live plant.
[ What we do ]
- Campus site assessmentLand, fibre paths, fuel and thermal tie-ins, and who needs to authorise it.
- FinancingWe arrange the funding for the facility as part of the partnership.
- On-site powerFuel cells, storage and solar sited with the load, so the facility can run islanded.
- Heat and water recoveryRecovered heat into campus steam or hot-water loops; recovered water to non-potable use; closed-loop cooling.
- Compute for the institutionCapacity for coursework, faculty and research alongside the capacity leased to others.
- Training on the live plantOperations, power and cooling skills taught on the running facility, alongside our workforce programs.
- A repeatable standardThe first campus becomes the template — module, controls, thermal tie-in and permitting — for the next.
The compute serves the campus that hosts it.
Every source the site needs, feeding one compute block.
[ What changes ]
- 01
Campus land and infrastructure put to work
- 02
Heat and water returned to the campus
- 03
A workforce trained on real systems
[ More in Digital Infrastructure ]