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Infrastructure for
your AI workload.
Bring your own GPU servers, discuss dedicated capacity or start with an inference use case. We connect the compute layer with the facilities and energy systems behind it.
GPU CAPACITY & COLOCATION
Connect the workload
to its infrastructure.
Discuss dedicated NVIDIA capacity or bring your own GPU systems to our sites in Finland and Sweden. Power, cooling and operating services are scoped for the deployment.
Explore GPU capacity ↗
Dedicated inference & AI services
Plan a dedicated EU data layer for document workflows, internal knowledge, RAG and business applications. The current inference pilot is scoped separately from larger GPU deployments.
Explore AI services ↗NVIDIA GPU capacity
Riveon and Rebels AI are developing current-generation NVIDIA infrastructure for inference, fine-tuning and training. Discuss your model, GPU memory, capacity and target start date.
Discuss GPU capacity ↗GPU colocation in Finland & Sweden
Colocation is offered across our Finnish and Swedish sites for customer-owned GPU servers used for training, inference and HPC. Rack density, cooling, connectivity and start dates are confirmed for the specific deployment.
Plan your colocation ↗BESS, grid balancing & heat recovery
Develop battery storage alongside datacenters, assess grid-service participation and connect useful heat to local demand. The design brings together electrical, operational and commercial requirements.
Explore energy services ↗