NVIDIA GPU capacity.
For your next AI workload.

Modern compute.
Matched to your application.

A new generation of GPU infrastructure.

Our expansion with Rebels AI centres on current-generation NVIDIA GPUs. We combine dedicated compute with European datacenter development and a data environment shaped around your business.

Inference, fine-tuning or training?

Plan capacity for language models, business applications and more demanding AI workloads. Model size, precision, context length and concurrent users determine the memory and throughput you need. Multi-GPU training and fine-tuning are scoped around the model, dataset and interconnect requirements.

Build the right configuration.

• NVIDIA GPU selection, count and required memory
• Inference throughput, concurrency and response-time targets
• Storage, networking and GPU interconnect requirements
• European processing location and your dedicated data layer
• Power, cooling, support and target start window

Tell us your requirements now. We will define the GPU model, configuration and availability for your proposal as the rollout progresses.

A practical starting point today.

The existing GreenGridLabs inference pilot in Southern Finland offers a defined evaluation route for one selected open-weight model up to the 8B class. The NVIDIA expansion supports our next phase of capacity development, with its own configurations and delivery milestones.

Already have your GPU servers?

Riveon offers GPU colocation across all our sites in Finland and Sweden. Bring modern GPUs for training, fine-tuning or inference and scope the physical infrastructure with our team.