A European foundation.
EU-based inference, with processing and storage locations defined for your deployment. Data flows and external integrations are part of the design.
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AI Services
Bring your models, business data and applications together around dedicated AI infrastructure in the EU. Start with your use case, then define the data layer and capacity that fit.
Dedicated EU data layer
A dedicated data layer connects your business information, model and applications. We develop the environment around EU data residency, controlled access and your organisation’s data-protection requirements.
EU-based inference, with processing and storage locations defined for your deployment. Data flows and external integrations are part of the design.
A dedicated model endpoint and GPU configuration. Connect the business data and application components your use case needs.
Access controls, retention and data-processing terms are built into the service design to support your organisation’s GDPR obligations.
Practical AI
Build on open-weight models and connect inference to the workflows that matter to your team.
Turn business documents into structured fields, summaries and drafts. Evaluate output quality on representative examples.
Plan document retrieval and application access around the knowledge your teams need. Data connections and indexing are scoped for the project.
An OpenAI-compatible interface provides a familiar integration route. Supported functions are matched to your application.
COMPUTE FOR AI APPLICATIONS
Model size, context length and concurrent users shape the GPU configuration. Our NVIDIA expansion with Rebels AI provides the direction for the next phase of capacity.
Explore NVIDIA GPU capacity ↗
A clear starting point
The GreenGridLabs pilot in Southern Finland offers a dedicated GPU serving one selected open-weight model up to the 8B class. A connected data layer, retrieval and application integration are developed to the needs of your project.
With Rebels AI, we are developing the next phase of our infrastructure around current-generation NVIDIA GPUs. Discuss dedicated capacity for larger models, inference, fine-tuning and training. The GPU configuration and delivery window are defined for your deployment.
Share your use case, data requirements and preferred start window.