Long-term revenue
Co-location turns megawatt-hours into GPU compute hours, giving producers 10 to 20 years of revenue visibility above spot market prices.
Why CloudGrid
Bring compute to the energy.
AI growth is now limited by access to power, not by software. CloudGrid Energy flips the data centre model: many renewable sources, each feeding its own on-site AI unit, instead of one giant campus waiting years for a grid connection.
The bottleneck
AI demand is outrunning the grid.
Inference workloads are exploding while data centre electricity use doubles. Hyperscalers already have more demand than power to serve it.
⅔
of global AI compute demand expected to be inference in 2026, up from one-third in 2023.
×2
possible for data centre electricity consumption between 2022 and 2026, in the IEA's projections.
2026
Microsoft expects Azure to stay capacity-constrained until at least mid-2026, with demand ahead of the capacity it has.
Our model
Three steps from electron to inference.
Renewable asset
A solar, wind or biomass plant, or an EV charging hub, with green competitively priced power, controlled land and an existing grid connection.
Policloud unit
A modular HPC container with GPUs, CPUs, storage, waterless cooling and ultra-high-speed connectivity, installed on site.
Sovereign AI
Low-carbon GPU capacity for European SMEs, startups and enterprises, interconnected through Poligrid, the distributed network that links every Policloud unit.
Capital efficiency
Eleven times less building CAPEX per megawatt.
A container on an existing grid connection avoids the buildings, land and electrical works of a hyperscale campus. GPUs and servers are excluded from the comparison.
Hyperscaler, per MWPolicloud / Antimatter, per MW
For energy producers
A better price for every kilowatt-hour.
Renewable producers face volatile spot prices and expiring support schemes. An on-site compute offtake turns their electricity into a premium, long-term revenue stream.
A second life for older assets
Our first unit runs on a wind farm reaching the end of its feed-in tariff contract, consuming its electricity locally.
No new grid build-out
Units plug into existing grid connections, avoiding the multi-year queues that block new data centres.
“In a more constrained environment for renewables, we needed a solution to increase the economic value of our electricity. Policloud converts our kWh into CPU/GPU compute hours, creating a new high value-added revenue stream.”
Sovereignty
European compute, European rules.
Until now, high-performance AI infrastructure was reserved for the largest global digital players. Our network gives European SMEs, startups and entrepreneurs affordable inference capacity that stays under EU jurisdiction.
- Run open-source models such as Mistral, Nemo and Magistral on European soil
- No dependence on non-European hyperscalers or neoclouds for inference
- Capacity distributed close to energy sources and end users
- A decarbonised, locally produced energy supply
Our commitment
More than half, always local and green.
Every site we select must offer three things. Above all, local green electrons must always exceed 50% of what the GPUs consume.
Have land, power or compute needs? Let’s talk.
Renewable producers, EV hubs, landowners and AI teams: join Europe’s clean compute grid.