The Platform Company

Modular AI Platform

An industrialized AI data center product — not a project

A standardized, factory-prefabricated platform of 2, 5 and 12 MW IT stacks engineered for ultra-high-density GPU workloads and deployable in under four months

Program Targets

Two non-negotiable constraints define the entire design

A modular AI data center product capable of being manufactured, shipped and commissioned globally — at hyperscale CAPEX discipline

€6M
Per MW IT Installed

All-in: structure, electrical, UPS, gensets, CDU, hydraulic, cooling, heat rejection, network, BMS/DCIM, security, commissioning.

4 mo.
Per Module Deployment

From manufacturing launch to Ready-for-IT-Load. Versus 18–36 months for conventional data center builds.

96–98%
Direct-to-Chip Liquid

Of total thermal load handled by DLC. Air handles only residual. PG25 secondary loop, 32–40 °C warm-water regime.

Interactive Architecture

One platform, three standardized stacks

Select a stack configuration, then explore each layer of the prefabricated infrastructure

GridHVE-HouseMV/LVUPS + GenN+1Busway A+B6× GPU Racks (illustrative)CDUN+1External Heat RejectionSite interfacePrefabricated IT module — 2 MW IT

Hover or tap any element to inspect specifications →

Stack Configuration

Stack A — 2 MW Pod

IT Load
2 MW IT
Rack density
~120 kW / rack
Racks
16 compute + 4 aux (≈20)
CDU
3 CDU (2 + N+1)
Cooling capacity
4.05 MW thermal
Hydraulic flow
70–90 L/min/rack
White space
150 m²
Resilience
Tier III eq. — N+1

Elementary building block of the program — fully autonomous pod, rapid multi-site deployment with minimal local adaptation.

Selected Layer

High-Density GPU Rack

120 kW (A/C) — up to 155 kW peak (B)

1.6–2 tons per rack. Floor loading 12–15 kN/m². Designed for sustained near-full-load operation on LLM training and HPC workloads.

Industrialization Philosophy

From construction project to manufactured product

Prefabricated structures

Modular shells preassembled in factory and shipped to site.

Electrical e-houses

MV/LV switchgear and transformation pre-tested off-site.

Hydraulic skids

Pumping, filtration and manifolds delivered plug-and-play.

CDU & UPS modules

Standardized N+1 modules common across all three stacks.

Plug-and-play interfaces

Drastically reduced wet works, cabling and on-site commissioning.

Climatic adaptation only

Core architecture preserved across geographies — only ambient temp, free-cooling, acoustics and utilities vary per site.

Targeted Workloads

Engineered for sustained near-full-load GPU operation

Large-scale LLM training
Hyperscale AI environments
Distributed GPU clusters
High-performance computing
AI inference at scale
Multi-node GPU architectures
GPU-to-GPU NVLink fabrics
Scientific computing

Building, financing or operating modular AI infrastructure?