Confirm the configuration.
We review GPU server format, rack loading, power draw and cooling. Modern NVIDIA and other datacenter GPU platforms are assessed for the selected site, including high-density training systems.
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GPU Colocation
GreenGridLabs operates the physical environment for your GPU servers. We offer colocation across all our sites in Finland and Sweden, supporting equipment for AI training, fine-tuning, inference and high-performance computing.
GPU COLOCATION
Bring your GPU systems to our sites in Finland and Sweden. We assess power, cooling and connectivity around your deployment.
Plan your installation ↗
Datacenter colocation services
From a server specification to an agreed installation, our site teams connect the physical requirements of your equipment with day-to-day datacenter operations.
We review GPU server format, rack loading, power draw and cooling. Modern NVIDIA and other datacenter GPU platforms are assessed for the selected site, including high-density training systems.
Scope rack space, electrical connections, cooling interfaces and networking. Agree delivery arrangements, installation responsibilities and acceptance checks before equipment arrives.
Define access procedures, local technical support, maintenance coordination, metering and incident handling. Response windows and service levels form part of your operating agreement.
Nordic locations
GreenGridLabs offers GPU colocation as the local operator across all our sites in Finland and Sweden. Our site teams turn your equipment requirements into an installation and operating plan.
Explore server housing in Southern or Northern Finland for your training cluster, inference servers or mixed GPU estate. We match the site configuration and start window to your deployment.
Discuss Finland colocationBring your GPU servers to our Swedish sites. Plan rack space, power, cooling and connectivity with a local operating team and a service scope built around your workload.
Discuss Sweden colocationGPU server hosting for AI workloads
Training and fine-tuning can require sustained power, coordinated cooling and fast communication between servers. Share the cluster topology, storage and bandwidth requirements so we can review the site interfaces together.
Bring production inference servers or a mix of GPU workloads. We agree the physical installation and support scope while you define the software and application environment.
Air-cooled and liquid-cooled configurations need different facilities. We confirm rack power, heat rejection and any site preparation against the equipment specification before committing capacity.
Colocation is part of our datacenter operating offer. BESS, grid balancing and heat-recovery interfaces can be included in project planning, with workload availability and responsibilities explicitly agreed.
For a dedicated endpoint and a defined model environment, explore our AI inference offer. The colocation enquiry here is for your own GPU equipment.
Explore AI inference ↗GPU colocation enquiry
Share what you want to install and where. We will help define the next step.
Practical answers
GPU colocation, also called co-location or server housing, places your own GPU servers in a datacenter with agreed rack space, power, cooling and connectivity. You bring the hardware; we scope the physical infrastructure and site services.
Yes. Our offering covers modern GPU servers for AI training, fine-tuning, inference and high-performance computing. Bring a configuration based on NVIDIA or other modern datacenter GPUs. We assess the server format, rack power, cooling and network requirements before confirming the installation.
Yes. Colocation is part of our offering across all our sites in Finland and Sweden. Available space, electrical capacity, cooling configuration and the deployment date are confirmed for your chosen site.
Include the equipment specification and cooling design in your enquiry. We assess high-density racks, liquid-cooling interfaces and cluster networking against the selected site. The proposal sets out the supported configuration and any preparation needed.
Send GreenGridLabs your hardware specification, preferred region and target start. Our team reviews power, cooling, connectivity, installation and support requirements, then defines the operating scope for your proposal.