Europe's Next-Generation AI Data Centre Platform — Intellion DC

Gigawatt-Scale AI Infrastructure

Power-Ready AI Infrastructure for Global Operators and Neoclouds.

Intellion DC acquires, entitles, and pre-develops massive-scale, high-density AI data centre campuses across Europe and the Nordics. We secure the high-voltage power and prime industrial land required to deliver power-ready, fully entitled sites, accelerating time-to-market for wholesale operators and hyperscale Neoclouds.

800MW+Total Active Development Pipeline
24+Months Time-to-Market Accelerated vs. Greenfield
100kW+High-Density AI Structural Readiness
4Strategic European & Nordic Markets
Strategic European & Nordic Pipeline

Secured Power & Strategic Site Pipeline

Securing massive power allocations and prime industrial land are the most significant bottlenecks in deploying AI infrastructure. Intellion DC de-risks the development cycle by taking on the heavy lifting of site acquisition, utility negotiations, and zoning approvals. We deliver master-planned, power-ready campuses across Europe's most critical grid corridors, allowing wholesale operators and Neoclouds to bypass years of pre-development friction.

Request Regional Technical Dossiers
Active Development Regions

Austria

Central Europe
Confirmed

Land Secured & Power Committed

Austria represents a cornerstone of our Central European strategy with two confirmed AI infrastructure sites. We have secured the master-planned land and received firm utility commitments for 140 MW and 200–300 MW power allocations. These sites are primed for dedicated on-site substation development, providing wholesale operators and Neoclouds with a guaranteed, de-risked path to massive high-voltage capacity.

Power Allocation
140 MW & 200–300 MW
Status
Land Secured & Power Committed

Germany

Central Europe
Active Pipeline

50 MW Initial to 300 MW Target Capacity

In Europe's most power-constrained and highly regulated market, we secure and entitle strategic industrial sites for immediate scale. Our German pipeline features a confirmed 50 MW initial power allocation, engineered with a master-planned expansion target of 300 MW. These high-density footprints are pre-assessed for strict compliance with the Energy Efficiency Act (EnEfG), securing the necessary zoning for waste heat recovery networks and renewable power integration.

Initial Power
50 MW confirmed
Expansion Target
300 MW master-planned
Compliance
Energy Efficiency Act (EnEfG)

Czech Republic

Central Europe
Due Diligence

Hyperscale Scale & Connectivity

Targeting massive parcel scale and robust dark fibre interconnection, our Czech Republic pipeline is currently undergoing advanced due diligence. These sites are strategically selected to offer immense physical footprints for operators requiring extreme structural load capacities and multi-building campus environments.

Status
Advanced Due Diligence
Focus
Hyperscale parcel scale & dark fibre

The Nordics

Northern Europe
Active Evaluation

Renewable Power & Thermal Efficiency

Our active site evaluations across Finland and the broader Nordics leverage abundant renewable energy and naturally favourable climates. These sites are aggressively pre-developed to support the extreme heat rejection requirements of massive-scale liquid cooling and immersion deployments at an industry-leading PUE.

Energy Profile
Abundant renewable power
Cooling
Liquid cooling & immersion ready
Target PUE
Industry-leading
Campus Architecture

Master-Planned Campus Classifications & Seed Phasing

Intellion DC engineers site architectures around high-voltage utility economics and deployment velocity. Whether acquiring a mid-scale footprint or a transmission-connected mega-campus, we integrate early-energisation strategies to bypass utility delays and get wholesale operators online faster.

Enquire on Site Capacities
30–50 MW

Day-1 Seed Capability

Operators cannot afford to wait years for massive utility substations to come online. We engineer every site with an initial 30 to 50 MW seed capability—utilising early-stage grid allocations or deploying advanced on-site biomethane generation—to allow immediate energisation of early AI training clusters.

Strategy
Early-stage grid allocation or on-site biomethane generation
Use Case
Immediate energisation of early AI training clusters
50–140 MW

Mid-Scale AI Facilities

Engineered to maximise standard regional distribution capacity. These sites are master-planned around a dedicated, dual-transformer substation footprint, delivering an ideal and highly efficient campus scale for single-anchor hyperscale clusters and wholesale Neocloud deployments.

Grid Infrastructure
Dedicated dual-transformer substation
Use Case
Single-anchor hyperscale & wholesale Neocloud
245+ MW

Full-Scale AI Campuses

The ultimate master-planned capacity for sovereign-scale compute. Operating at this scale requires transmission-level grid connections. These multi-substation, industrial mega-campuses are engineered for immense structural loads, multi-building environments, and massive-scale liquid cooling infrastructure.

Grid Infrastructure
Transmission-level connection, multi-substation
Use Case
Sovereign-scale compute & mega-campus environments
Technical Specifications

Engineering at Institutional Scale

Every campus is designed from first principles for the demands of next-generation AI compute — not retrofitted from legacy infrastructure.

Resilient Power & Grid Integration

Extra-High-Voltage (EHV) transmission connections combined with on-site Solid Oxide Fuel Cell (SOFC) microgrids and Battery Energy Storage Systems (BESS), delivering uninterrupted multi-hundred-megawatt power at institutional reliability standards.

Advanced Thermal Management

Direct-to-Chip liquid cooling architecture supporting rack densities up to 100kW+, with rear-door heat exchangers and immersion cooling capability.

Sovereign Data Security

EU-jurisdiction campuses with physical security perimeters, biometric access control, and compliance frameworks for regulated workloads.

Modular Campus Architecture

Phased delivery model enabling rapid scale-up from initial 30–50 MW seed deployments to gigawatt-class campuses with consistent engineering standards.

Ultra-Low PUE Design

Target PUE of 1.2 achieved through liquid-to-liquid Coolant Distribution Units (CDUs), closed-loop heat rejection, and advanced waste heat recovery systems.

Strategic Connectivity

Carrier-neutral dark fibre access with direct interconnects to major European internet exchange points and subsea cable landing stations.

Adaptive Reuse

Repurposing Industrial Assets into Ultra-Dense AI Factories

Intellion bypasses multi-year utility queues by engineering behind-the-meter biomethane generation, hybrid grid interconnects, and Direct-to-Chip liquid cooling into existing industrial envelopes. Through physics-accurate digital twin validation and peri-urban retrofits, we transform brownfield assets into high-performance compute clusters — delivering mission-critical capacity in months instead of years.

"The bottleneck in advanced AI is no longer silicon — it is the physical reality of power delivery, land scarcity, and speed-to-market. We engineer around the substation queue to deploy high-density compute where inference actually happens."

Core Architecture: The Adaptive-Reuse Imperative

The race for AI infrastructure is severely constrained by utility interconnection backlogs. Intellion's adaptive-reuse framework converts legacy industrial shells into dense, sovereign AI factories, leveraging resilient, multi-input energy architectures to unlock operational capacity at pace.

Eliminating the Power Gap

Grid interconnection queues across core European metros regularly exceed 3 to 7 years. We bridge this deficit by engineering a hybrid, behind-the-meter energy platform:

  • Sovereign Biomethane Baseload

    Rapid-deployment, low-carbon biomethane generation delivers immediate, dispatchable power independent of transmission constraints.

  • Hybrid Architecture

    Combines on-site generation with available grid feeds and high-rate Battery Energy Storage Systems (BESS) for continuous N+1 resilience.

  • Future-Proof Topology

    Full island-mode operational independence with seamless bi-directional grid export capabilities.

Urban Proximity for Low-Latency Inference

While foundational model training can tolerate remote geographic deployment, enterprise-grade AI inference cannot:

  • Edge & Metro Density

    Placing high-performance clusters within peri-urban industrial corridors slashes network transit times to sub-millisecond ranges, servicing latency-sensitive industrial automation and financial infrastructure.

  • Spatial Efficiency

    Maximising kW-per-square-metre density within compact brownfield footprints, placing high-density compute directly in the economic zones where models are actively queried.

Digital Twin Pre-Validation & Modelling

Our digital twin continuously models the real-world interactions between fluid dynamics, transient electrical loads, and structural mechanics:

  • Pre-Construction Simulation

    Simulates static slab loadings, localised heat dissipation, and coolant flow dynamics to catch clashes early.

  • Dynamic Step-Load Forecasting

    Models the interactions between biomethane generation, incoming grid supply, and BESS to guarantee sub-cycle electrical stability.

  • Lifecycle Optimisation

    Interfaces with smart sensors and Coolant Distribution Units (CDUs) to predict thermal hotspots and dynamically optimise cooling efficiency.

Delivery Comparison: Greenfield vs. Adaptive Retrofit

MetricGreenfield Mega-CampusIntellion Adaptive Retrofit
Speed-to-Power36–60+ Months12–18 Months
Cooling TopologyAir-cooled / HybridDirect-to-Chip Liquid Ready (100 kW+/rack)
Power Architecture100% Utility Substation DependentBiomethane Generation + BESS Hybrid
Embodied CarbonHigh (Extensive concrete/steel)Significantly Reduced (Reused superstructure)

Bypass the Grid Queue

Enquire about dedicated multi-megawatt allocations, regional low-latency interconnects, and accelerated deployment timelines.

About Intellion DC

Engineering the Future of AI Compute

Intellion DC was established to solve the fundamental bottleneck of the artificial intelligence era: the sheer physical infrastructure required to power, cool, and scale gigawatt-class compute. We are a specialised developer of next-generation AI Factories, intentionally abandoning the constraints of legacy data centre design to build campuses purposefully engineered for the extreme thermal and electrical demands of modern GPU clusters.

Leadership & Execution DNA

The technical leadership driving Intellion DC brings over two decades of specialised expertise in advanced data centre engineering, IT infrastructure, and high-stakes operational delivery across the technology, finance, and government sectors.

Our track record includes the operational leadership of 150MW+ direct-liquid-cooled campuses for hyperscale giants like Meta, alongside ultra-high-density compute deployments for Google and Intel. We know exactly what it takes to power, cool, and operate massive GPU clusters — bringing proven Tier 1 operational DNA to support both established hyperscalers and the rapidly scaling ecosystem of AI Neoclouds.

Rooted in the rigorous, zero-fail discipline of military engineering and critical national infrastructure, our approach treats AI data centres not merely as commercial real estate, but as mission-critical, utility-scale ecosystems. From structuring complex Extra-High-Voltage (EHV) grid connections to pioneering on-site SOFC microgrids and Direct-to-Chip cooling architectures, Intellion DC merges visionary development with absolute execution certainty.

Secure Enquiry Portal

Institutional Enquiries & RFP Portal

For hyperscale tenants, wholesale data centre operators, and Neoclouds. All enquiries are handled under strict confidentiality.

This portal is intended for qualified institutional counterparties. Intellion DC operates under an NDA for all site allocation discussions.

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