Run AI Workloads Faster, Smarter, and More Sustainably
From low-latency inference across Europe to energy-efficient training in the Nordics, our infrastructure is built for AI at scale
The AI infrastructure challenge
Running AI at scale means more than just GPUs. It’s about deploying the right workload, in the right place, with the right control.
- Low-latency proximity: Deliver real-time inference and reduce data transit times by hosting workloads near your users, data, and cloud platforms.
- Hybrid cloud integration: Seamlessly bridge on-premises infrastructure with public clouds, maintaining flexibility for training and inference pipelines.
- High-density infrastructure
Support up to 50 kW per rack with liquid- or air-cooling to power large-scale training and inference workloads in a compact footprint. - Energy-efficient by design
Deploy in regions engineered for sustainability—leveraging low PUE, heat reuse, and renewable energy to run AI at scale without excess emissions. - Data sovereignty and compliance: Safeguard sensitive models and customer data within GDPR-compliant, EU-owned facilities.
- Sustainability goals: Minimize environmental impact through the use of renewable energy, heat reuse technology, and ESG-aligned infrastructure.
For a deeper dive on why inference doesn’t belong in the cloud alone, check out our post: AI Inference Doesn’t Belong in the Cloud – Alone.
Keep your data where it belongs.
Keep your data where it belongs, on infrastructure that is fully owned and operated in Europe. Our platform is designed for GDPR compliance and robust data residency, ensuring you maintain full control over sensitive models and customer information.
Balance security and flexibility with private cloud options for sensitive workloads, while taking advantage of the public cloud for scalable, non-sensitive tasks, all within trusted, EU-owned environments.
Protect your models and training data with infrastructure built for confidentiality, integrity, and access control across both inference and training environments.
Solutions for Scalable AI Infrastructure
High-Density Racks
Support up to 50 kW per rack with liquid cooling, designed for training and inference at scale. Achieve ultra-high computational density within a compact footprint.
GPU-as-a-Service
Instantly access GPU infrastructure through trusted partners with pre-configured or custom setups. Scale your AI workloads without upfront capital expenses.
Hybrid Cloud Integration
Enable seamless connectivity between private and public clouds with guaranteed low-latency throughput. Move your workload across environments without disruption.
Choose Your Cooling
Support high-density AI workloads with liquid or air cooling, available across our metro-edge and Nordic training sites.
Low-Cost Power
Located in energy-efficient regions, our sites in Sweden offer renewable power at ultra-competitive rates, striking a balance between performance and sustainability.
Scalable Deployments
Deploy from single racks to entire private suites. Scale horizontally or vertically as your workload evolves.
How it works
Align on workload type, latency needs, and data residency, whether you’re running real-time inference, batch training, or both.
Choose latency-optimized metro locations for inference (e.g., Stockholm, Copenhagen) or low-cost northern Sweden for training.
Deploy your infrastructure, or your HW, through Kolo.
We support up to 50 kW per rack by default, with both air and liquid cooling options. Higher densities are available on request. Our team takes care of installation, cable management, and ongoing remote hands support.
We provide GPU-as-a-Service through our trusted partners.
Set up hybrid cloud connectivity with dedicated low-latency links to public or private clouds.
Ensure full compliance with EU data laws, enable encryption, and apply access control policies.
Manage your deployment with live dashboards, automation tools, and 24/7 remote support. Scale easily by adding racks or expanding to multiple regions.
Need more details?
Our AI-edge locations
Where you deploy your infrastructure makes all the difference. We offer five key data center locations designed to match your AI workload needs:
Stockholm
A European startup hub. Features high security, metro-edge connectivity, twin-sites with 100% renewable energy, and heat recovery systems for sustainable workflows.
Copenhagen
A key Nordic gateway offering scalability with a highly connected fiber backbone. Perfect for regional AI deployments. Prepared for liquid cooling and high-density racks.
Amsterdam
Europe’s interconnection hub. Ideal for SaaS and hybrid deployments with low-latency cloud on-ramps.
Piteå
Power-intensive AI workloads thrive here. Benefit from natural cooling, ultra-low power costs, and renewable energy sources. Powered by 100% hydro.
Skanderborg
Proximity to Hamburg, Copenhagen and Aarhus makes this an ideal site for edge inference and low-latency delivery to central Europe. 100% renewable solar power.
Take the next step
Run AI workloads faster, smarter, and more sustainably. View our solution guide for in-depth technical details or book a consultation to discuss your specific needs.