Britain pays over £1.5 billion a year to switch wind farms off. Aegis Compute puts containerised GPUs exactly where that power is stranded — turning curtailed renewable electricity into low-cost, clean AI compute.
The Aegis Compute principle
Britain is building renewables faster than the grid can carry them. The result is clean power, generated and thrown away.
paid to switch off UK wind in 2025 — 94% of it in Scotland.
Curtailment · GB grid, 2025
of northern Scotland's wind actually reached the grid.
Stranded power · 2025
a year is the forecast cost of curtailment by 2030.
Trajectory · forecast
of grid queue avoided by siting behind the meter.
Speed · private wire
A datacenter that moves to the energy — not the other way round. Conventional datacenters wait years for a grid connection, then pay the highest industrial power prices in the developed world. We skip both by going to where clean power is already being thrown away.
We partner with wind and solar operators whose output is constrained off the grid, and connect behind-the-meter via private wire.
Power flows straight from the generator to our containers — no grid export, no reinforcement bill, and UK data residency by default.
A refurbished container, fitted with GPUs and efficient cooling, deploys in weeks — skipping the multi-year grid queue entirely.
Inference, batch fine-tuning and rendering run on clean power at a fraction of cloud cost — ramping down the instant the operator needs the energy back.
Inference
· always-on, low-latency
Serve models on clean GPU capacity at a fraction of mainstream cloud rates.
Batch fine-tuning
· interruptible
Long training and fine-tuning runs that tolerate pauses are the perfect fit for curtailed power.
Rendering
· bursty, parallel
Render and compute-vision jobs scale up when the wind blows and step aside when the grid needs it.
One bridge between stranded clean power and the teams who need affordable compute.
Turn constrained output into revenue with a flexible, fast-ramping local buyer that sits behind your meter and steps aside when you need the power.
For teams whose workloads tolerate interruption, Aegis Compute offers NVIDIA-class GPUs powered by cheap renewable energy — meaningfully below mainstream cloud rates.
The gap between wasted power and scarce compute is widening — and the policy and market conditions to bridge it have just arrived.
UK curtailment cost £1.5bn in 2025 and is forecast to reach £8bn a year by 2030 as renewables outpace the grid.
The UK's AI Growth Zones are steering compute toward constrained power, with grid priority and electricity discounts in Scotland.
Hyperscalers chase gigawatt sites. The smaller, stranded sites — too modest for them — are exactly where a containerised fleet fits.
The thinking behind siting AI compute at curtailed renewable power — and what it means for operators and compute buyers.
Get early access
Aegis Compute is at pilot stage — securing our first behind-the-meter site with a UK renewable operator and lining up early compute partners. Tell us which side you're on.
Aegis ComputeClean, low-cost AI compute, sited where Britain's renewable power would otherwise be wasted.
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