Current-generation NVIDIA GPUs
Our capacity expansion with Rebels AI centres on modern NVIDIA GPUs for inference, fine-tuning and training. Define memory, storage, networking and a delivery plan around your workload.
Plan GPU capacity ↗Home / European AI Infrastructure
European AI Infrastructure
European AI infrastructure.
From power to inference.
Riveon develops the physical foundation for AI in Europe: datacenters, dedicated GPU capacity and energy systems. GreenGridLabs connects that foundation to local operations and business workloads.
European infrastructure / Customer control
What belongs in
your AI infrastructure?
Start with the model and data. Then connect the compute, facility and energy requirements. This makes location, access and operating responsibilities part of the design from the outset.
A dedicated EU data layer
Define the location of inference and storage, the people who can access them and the interfaces to your applications. Include logging, retention and support access in the scope.
Explore the data layer ↗Datacenters and battery storage
Develop co-located BESS, grid balancing and useful heat recovery alongside compute. Match the energy system to the site connection and operating requirements.
Connect compute and energy ↗Finland · Sweden · Germany
A regional approach
to European capacity.
Our project work spans Southern Finland, Northern Finland, Sweden and Germany. We combine regional development with a shared approach to datacenter operations and energy integration.
With Rebels AI, we are building independent European AI infrastructure and transitioning to current-generation NVIDIA GPUs.
Sovereign AI / A practical scope
Define control where it matters.
For a sovereign AI project, a European datacenter is one part of the answer. Model choice, software dependencies, administrative access, data flows and service terms also determine how much control your organisation has.
We work through these decisions with you. European data residency, customer access rules and open-weight model options form the starting point; the agreed service scope sets out the deployment in detail.
Questions to start with.
What is European AI infrastructure?
It is the combination of compute, datacenter facilities, networks and supporting services used to run AI workloads in Europe. Riveon’s development approach also includes battery storage, grid services and waste heat recovery.
Is EU data residency the same as data sovereignty?
No. Residency describes where data is processed and stored. Sovereignty also involves control, access, legal arrangements and dependencies. These points need to be considered together for each deployment.
Can we start with inference before planning a larger cluster?
Yes. The GreenGridLabs pilot in Southern Finland provides a starting point for one selected open-weight model up to the 8B class. Larger configurations and connected data services are scoped separately.
How do we enquire about European GPU capacity?
Share your model, expected workload, memory needs, preferred region and start window. We review the requirements and discuss configuration, availability and the next steps with you.
Bring your AI project to Europe.
Tell us about the workload, data location and infrastructure you need.