What’s So Cool About AI? It’s Helping Data Centres Save Energy in a Place Nobody Thought to Look
Every stream you watch, every search you run, every message you send passes through a data centre. These buildings keep modern life ticking. They also use a lot of electricity doing it. So, here’s a question worth asking on International Data Centre Day: where does the next big energy saving come from? And what part does AI play?
The score everyone chases - shrinking the 1
The data centre industry measures efficiency using something called PUE – Power Usage Effectiveness. The maths is simple enough. Take all the power a data centre uses (servers, cooling, lighting, networking, the lot) and divide it by the power used by the IT equipment alone. A perfect score is 1.0. You’ll never get there, but that’s the goal.
Twenty years ago, the average PUE sat at roughly 2.5. Today it’s closer to 1.4. That’s a big improvement and the industry has worked hard to get there.
How did they do it?
By going after 'everything else.' The cooling, the power systems, the lighting. Operators redesigned airflow to stop hot and cold air mixing. They swapped old UPS systems for high-efficiency ones to cut conversion losses. They put lighting on motion sensors so empty halls stopped burning power for nobody. Each change chipped away at the overhead and nudged that PUE score closer to 1.
But here’s the thing
Most of the easy wins have gone. The low-hanging fruit on the “everything else” side of the equation has been well and truly picked. Cooling and infrastructure have been optimised about as far as they can go with conventional approaches. So where do you look next?
The fruit nobody thought to pick
Here’s what almost nobody is looking at: the IT power itself. The servers. The kit doing the actual useful work. It’s the “1” in the PUE equation and it’s been treated as untouchable for decades. The thinking? That’s the sacred bit. That’s revenue. That’s the workload. Don’t touch it.
Which means there’s an enormous opportunity hiding in plain sight.
What if AI could touch the untouchable and cut energy bills?
AI-enabled technology now makes it possible to optimise how much energy servers use, without affecting performance. QiO’s ServerOptix does exactly this. It uses AI to analyse server power consumption in real time, matching energy use to actual demand rather than letting servers run flat out whether they need to or not.
Does it work? Organisations using ServerOptix are seeing around 25% savings on IT power.[1][2] And because servers running more efficiently generate less heat, there’s a knock-on reduction of roughly 15% on cooling costs too.[1]It’s quick to deploy and the savings start straight away.
It’s time to shrink the bills, not the 1
PUE as a metric has its problems and that’s well understood. Reducing IT power - the “1” - can actually make your PUE score look worse. A smaller denominator means the ratio goes up, even though you’re genuinely using less electricity. On paper, it looks like you’ve gone backwards.
Other metrics exist. But the mindset of chasing the 1 is so deeply engrained that it still shapes how the industry thinks about saving energy. Which means there’s a massive opportunity that most people simply haven’t come across yet: optimising the IT power itself.
Would you rather protect a PUE score on a slide, or take tens of thousands of pounds off your electricity bill? It’s an opportunity that’s been overlooked for too long. AI now makes variable energy optimisation possible, in real time, without compromising performance. There’s nothing stopping you from grabbing it.
Ready to stop chasing the 1 and start cutting the bills? Talk to QiO.
References
[1] (2024) ServerOptix lab evaluation, World Wide Technology (WWT)
[2] (2022) Leveraging AI for smarter data centre power efficiency, Intel
