While everyone else hunts for more megawatts, two companies just announced a way to get up to 50% more AI compute out of the power that’s already there. On October 1, Singapore-founded neocloud Aolani announced a partnership with Karman (formerly Utilidata) to deploy advanced power orchestration across Aolani’s AI infrastructure — and the headline number is the strongest data-center efficiency claim of the week: 50% more compute capacity from the same provisioned power.

No new substations. No grid-connection queue. No waiting. Just smarter use of the electrons already flowing.

How it works

Karman’s platform pairs high-resolution power metrology with local processing and AI, running on a custom NVIDIA Jetson Orin Nano at the rack level. In plain terms: it measures exactly how much power each rack of GPUs is actually drawing, moment to moment, and dynamically reallocates the available capacity in real time. Data centers provision power for worst-case peaks that rarely arrive simultaneously; the gap between provisioned and used is “stranded power,” and it’s enormous.

Karman says the platform increases tokens per watt by 50% by unlocking that stranded capacity. This isn’t a lab demo. At its first commercial deployment in North America, the system already unlocked 33% more compute capacity from existing power infrastructure — which the company says could translate into roughly $20 million in additional revenue per megawatt. The joint proof-of-concept with Aolani will run on the NVIDIA Blackwell platform.

Why “do more with what you have” is the story of 2026

Aolani CEO Nicholas Chia put it simply: the goal is to “deliver the compute capacity quickly without waiting on the grid.” That sentence is the whole ballgame. The AI industry’s binding constraint has shifted from silicon to substations. A new hyperscale data center can take two to four years to get connected to the grid in some markets. Efficiency software that adds 50% capacity overnight is, functionally, a time machine.

It pairs neatly with the other side of this week’s news: neoclouds pledging GPUs as collateral to finance new builds and Japan co-locating data centers with power plants. The industry is attacking the power problem from both ends — more supply and better utilization. This announcement is the purest expression of the second approach.

The economics flip

Here’s the part the finance people will circle. If a software layer can lift a data center’s effective capacity by a third to a half, power efficiency stops being an operations concern and becomes a revenue line. Twenty million dollars per megawatt of unlocked capacity is a number that reorders priorities fast. Suddenly the efficiency team is the growth team.

And there’s a climate angle that deserves a mention. Every percentage point of utilization gained from existing infrastructure is capacity that doesn’t need a new power contract — or a new power plant. In a year when data-center electricity demand is straining grids and climate commitments simultaneously, doing more with the same electrons is the rare win that pleases the CFO and the sustainability officer at once.

Power is the new compute. The companies that treat it that way — measuring it, managing it, squeezing it — are building the real infrastructure of the AI era. Karman and Aolani just showed everyone the math.