Polarise AI-Ready Colocation Data Center

AI-Ready Colocation for Sovereign GPU Infrastructure

Deploy and operate AI Factories inside German and European colocation facilities — without building everything yourself. Polarise enables high-density, GPU-ready infrastructure with predictable power allocation, liquid cooling by default, fast time-to-capacity, and readiness for next-generation platforms like Blackwell and Vera Rubin.

GPU-Ready by Design High-density from 150 kW per rack, liquid cooling, N+1 redundancy, scalable AI Pods from 1 MW per module.

Operate, Don't Rebuild AI Factories based on NVIDIA Reference architecture and optimized for latest and upcoming DGX, HGX and RTX platforms.

Sovereign & Local Germany-based deployment, EU data residency, ISO-certified operations and full regulatory alignment.

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ISO/IEC 27001 Certified

ISO/IEC 9001 Certified

EN 50600 Certified

BREEAM Code for a sustainable built environment

Why AI Workloads Change Colocation Requirements

GPU-based AI workloads break traditional data center assumptions. The bottleneck is no longer rack space — it is power density, cooling design, operational maturity, compliance, and deployment speed. Only a small fraction of global AI compute capacity is located in Europe. AI infrastructure must be faster to deploy, higher in density, liquid-cooled by default, designed for sovereignty, and operationally mature from day one.

High Power Density

AI clusters require multi-kW per rack — often 10x legacy enterprise loads.

Cooling Constraints

Air cooling alone is no longer sufficient for sustained GPU workloads. Direct liquid cooling becomes baseline infrastructure.

Time-to-Capacity

AI demand scales faster than traditional data center expansion cycles.

Operational Complexity

GPU lifecycle, orchestration, network management and workload scheduling require specialized expertise.

Build vs. Partner Decisions

Not every operator wants to become an AI platform provider.

Regulatory Pressure

In-country operation, EU data residency and compliance are often mandatory — especially for enterprise and public sector workloads.

How Collaboration Works

A pragmatic model — from first deployment to scaled AI Factory.

Colocation & Capacity Alignment

Power, cooling, compliance and footprint validation.

GPU Cluster Deployment

Rack-level integration, liquid cooling activation, connectivity.

Operation by Polarise

GPU and network operations for your equipment, monitoring, inventory and lifecycle management.

Scale with Demand

Add racks, expand Pods, increase MW — without redesigning the facility.

The AI Pod Architecture

Polarise AI Pods are purpose-built for high-density GPU clusters. Designed for rapid deployment — often within ~6 months from concept to first operational high-density racks.

Starting from 1 MW per Pod

16 racks per Pod (up to 45U usable)

150 kW+ per rack

Liquid cooling by default

4+ power feeds per rack

N+1 power & cooling redundancy

Cold aisle containment

Carrier independence or Polarise peering

Ready to Run AI Factories Inside Colocation?

Polarise enables AI Factory operations as a modular building block — not as a competing cloud. We integrate into existing Enterprise IT and colocation setups and scale GPU infrastructure pragmatically using a proven AI Pod architecture. From first rack to multi-MW cluster — without forcing you into hyperscaler dependency.

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Why Germany-Based Colocation Matters

For many AI workloads, location is not optional. Enterprise, public sector and regulated industries require predictable regulatory boundaries and trusted infrastructure environments.

EU Data Residency & Compliance

ISO/IEC 27001, ISO/IEC 9001, EN 50600 aligned operations with energy certification.

Enterprise & Public Sector Trust

Controlled physical access, multi-layer authorization, CCTV, fire suppression, redundant power paths and N+1 infrastructure.

Energy & Operations Planning

Redundant power feeds, UPS, diesel backup generators (N+1), intelligent PDUs and scalable pod-based architecture.

Sovereign AI Strategies

Reduced dependency on non-EU providers while maintaining access to latest NVIDIA Blackwell-based AI systems.

Build AI Capacity Without Building Everything Yourself

Let's discuss how AI-ready colocation fits into your infrastructure roadmap.

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Nils Herhaus

Business Development

@Polarise

NVIDIA Preferred Partner

Polarise has achieved NVIDIA Preferred Partner status and is listed as official NVIDIA Cloud Service Provider (CSP), solidifying our position as a trusted leader in cloud innovation. This designation is reserved for select partners who operate large clusters built in coordination with NVIDIA, adhering to a tested and optimized reference architecture.