Cut Server Energy Costs by 25% Without Affecting Performance
ServerOptix cuts server energy consumption by 25% with zero impact on performance. Every month you don’t act on it, you’re paying for power your servers don’t need.
Speaking to the BBC’s Today programme, Raspberry Pi founder Eben Upton has named high energy prices as the single biggest threat to UK manufacturing [1]. Data centres face the same threat in sharper form. UK industrial electricity is more than four times the US level [2], and no operating model is more exposed to that input than a data centre. For UK operators, this isn’t news. What’s new is hearing it said out loud by someone outside the sector.
OpenAI’s recent £31bn Stargate pause [3] is what the squeeze looks like at the top end of the market. With UK demand set to quadruple by 2030 [4] and grid connections taking up to a decade [5], the next efficiency gain has to come from inside the existing estate. Building out won’t be an option for most. Optimising what’s already there will.
The next big saving is in the kit itself. The industry has spent a decade on everything around the servers, from renewables to PPAs to cooling. While the servers themselves have barely been touched.
Servers draw power decoupled from the work they do. Most pull 50 to 70% of peak even at idle, while average CPU utilisation sits at 15 to 30%. That gap is energy you pay for and get nothing back. It’s the energy equivalent of a hotel keeping the lights and air-con on in every room irrespective of whether they’re occupied.
What the evidence shows
ServerOptix closes that gap at the CPU, autonomously, without touching performance. Installation takes hours, runs on existing hardware, and sits in a category the industry hasn’t yet named: autonomous server-level energy optimisation. Three independent studies have measured what it does.
Qnetix recorded a sustained 35% reduction in server power on a live estate, around 62W per server, with no perceptible performance impact, all independently confirmed at rack-level PDU [6]. Across a 2,000-server estate that’s roughly £260,000 in annual energy savings and around 192 tonnes of CO₂e avoided. The two-week test ran across 50 servers on live applications, workloads and SLAs remained unchanged.
The result holds across both major chipset architectures. The estate included AMD EPYC and Intel Xeon processors on multiple Dell PowerEdge models, so this isn’t a single-vendor effect.
What the lab tests confirm
Two lab studies back up the Qnetix result. World Wide Technology's Advanced Technology Centre recorded 19 to 29% power reductions on Dell servers, with exhaust temperatures down 9.2%, all independently confirmed at the PDU [7]. Intel separately validated reductions of approximately 25% on Xeon Gold dual-socket servers under representative load [8].
All three studies converge: measurable, sustained energy reduction with no performance impact. While the headline 25% is the conservative average across this body of research, the Qnetix study shows what’s achievable at the upper end.
What this means for your facility
The savings don’t stop at the meter. Lower power draw at the rack cuts cooling demand and frees electrical headroom for growth, without expanding the envelope. In a market where a new grid connection takes up to a decade, that headroom is its own asset. For operators, that headroom is what makes the next workload land without going back to the planners.
Three independent studies, two chipset architectures, one conclusion: your servers are drawing energy they don’t need. There’s now a proven way to stop paying for it.
References
1. (2026) Eben Upton: high energy costs the biggest threat to UK manufacturing, Today programme, BBC Radio 4.
2. (2026) The rising challenge of powering data centres, Oxford Economics.
3. (2026) OpenAI pauses Stargate UK data centre over energy costs and regulation, Reuters via Yahoo Finance.
4. (2026) Data centres: planning policy, sustainability, and resilience, House of Commons Library.
5. (2026) 50 GW of datacentre demand queues up for UK grid access, The Register.
6. (2026) Validating scalable server energy optimisation in real-world data centre conditions, by Qnetix, published by QiO Technologies.
7. (2023) Using AI to reduce energy consumption, cost and carbon emissions in data centres, World Wide Technology Advanced Technology Centre.
8. (2022) Power management: leveraging AI for smarter data centre power efficiency, Intel Network Builders.
