Keep expensive GPUs powered, cooled and earning.
For neoclouds and AI labs running dense accelerator fleets. When compute costs more than the building and ages out in 24–36 months, every idle or throttled GPU-month is capital lost. Aidni connects the scheduler to the power and thermal limits beneath it.
CTO · Head of Infrastructure · CFO
The problems these teams bring to us:
- 01GPUs waiting on power or cooling while they depreciate
- 02Thermal throttling that the scheduler cannot see
- 03Lenders and investors asking for utilization evidence
The systems that do the work.
Aidni Grid
Delay cost per GPU-month, so energization and procurement are sequenced together.
Open systemAidni Conduit
Agents see power and thermal headroom and propose workload placement to the scheduler.
Open systemAidni Ledger
Energy per GPU-hour and utilization reports for lenders and boards.
Open systemWhat you get.
- More GPU-hours delivered per MW
- Placement that respects power and thermal limits
- Utilization evidence for financing
Every engagement starts with a fixed-fee Site Assessment, so you see the model of your own facility before committing to a subscription.
Bring us one site. We will show you its real capacity.
A six-week Site Assessment maps the power envelope, the cooling design and the compute plan for one facility, delivered by the engineers who build the platform.