AI FactoryCHEVORA: VISION & POWER
CHEVORA — WHERE VISION MEETS POWER

CHEVORA: AI FACTORY — a purpose-built AI data center for high-density GPU workloads.

We combine ultra-dense GPU clusters with direct-to-chip liquid cooling and heat reuse, delivering reliable and efficient computing for business and science.

AI adoption accelerates, but capacity is scarce in Europe. CHEVORA bridges this gap in CEE with modular capacity, rapid deployment, and flexible monetization (colocation and GPU-as-a-service), accessible to startups, integrators, and large enterprises.

AI Factory for High-Density Compute

We are building a next-generation data center in Slovakia: liquid-cooled GPU clusters, heat-recovery to district networks, and a modular power architecture for AI training, inference, rendering, and real-time analytics.

RoadmapPartnership
Liquid cooling & heat re-use
Efficient cooling with energy reuse to district heating networks.
GPU-dense racks
Optimized density for AI training, inference, and rendering.
Modular power scaling
Flexible scaling of power infrastructure for growing workloads.
Security & compliance
High-standard compliance and robust security for critical data.
GLOBAL

Global Imperative: History, Limits, and Our Position

Vision Statement
CHEVORA — The New Currency of Computing
"The most powerful force in the world right now is the rise of Artificial Intelligence. Computing becomes the new currency. We are at the beginning of a new era where demand for GPU power exceeds the capabilities of traditional infrastructure."
— Jensen Huang (NVIDIA), Visionary of the AI Era.
The CHEVORA project is not just a new data center. It is an AI FACTORY, created as a key infrastructure element for a new era of ultra-dense computing and artificial intelligence.

Four Waves of the Computing Revolution

Technological Deadlock and DLC Necessity

If you are not planning the transition to liquid cooling today, you are planning moral obsolescence tomorrow. Air cooling is dead for high-density AI workloads.
— Key conclusion from McKinsey Global Institute report.
Modern GPU accelerators generate thermal density that is 5-10 times higher than traditional air cooling capabilities. Investing in classic data centers is an investment in a morally obsolete asset. Forecasts show that most new HPC and AI installations will use DLC by 2025.

Global Industry Metrics

Key Trends

The growth of data center energy consumption and exponential dominance of AI workloads are shaping a new reality for the industry. Classic metrics (PUE, MW, footprint) no longer reflect the main growth drivers. The new metric — AI/Non-AI ratio and AI workload growth rates — becomes a key indicator for strategic decisions, investments, and technological development.
Energy Consumption Growth
Total data center energy: 82 GW → 220 GW (2025–2030)
+2.7x in 5 years
AI Share of Energy
2025: 54%  |  2030: 71%
AI is the main driver of energy growth
AI vs Non-AI Workloads
Non-AI: 38 → 64 GW (+68%)
AI: 44 → 156 GW (+255%)
AI: exponential growth, Non-AI: moderate
ADVANTAGE

AI Factory: Key Differences

“AI Factories are the new engines of progress. Compute is the currency of the future, and those who build it shape the next era.”
— Daniela Rus, Director, MIT CSAIL
CHEVORA’s model bridges performance engineering with regional opportunity — creating a scalable, high-density AI facility in the most stable part of Europe.
This is where infrastructure becomes strategy.

Why AI Factory ≠ Typical DC

Tap any card to read a plain-language explanation.

Map

Slovakia • Heart of Europe
  • Power interconnects & fiber routes
  • Central EU reach & logistics
  • Skilled engineering talent pool
  • District heat export potential
  • Low-latency proximity to EU capitals
  • Stable EU regulatory environment
Slovakia Map
TECHNOLOGY

Where Vision Meets Power — The AI Factory Advantage.

Every company will become a software company. Every company will become an AI company.
— Satya Nadella, Chairman & CEO, Microsoft
CHEVORA’s AI Factory represents a new infrastructure class — engineered from the ground up for artificial intelligence workloads.

Unlike traditional data centers optimized for storage or web traffic, the AI Factory integrates extreme power density, direct liquid cooling, modular megawatt scaling, and full circular heat-reuse cycles.

Each subsystem — from rack to campus — is designed around one principle: to turn every watt into intelligence.

This is infrastructure that merges physics, compute architecture, and sustainable energy systems, creating a foundation for Europe’s next generation of AI-driven industry.

AI Factory — System Blueprint

A modular blueprint of CHEVORA’s integrated AI infrastructure — connecting power, cooling, compute, and network into a unified intelligent system.

Each element can be expanded for deeper detail. ▾ / ▴
Each module is designed as a self-contained system — engineered for parallel scalability, autonomous telemetry, and full integration with ESG and operations frameworks.
Technology Layers
Infrastructure Layer: Power Train, Cooling, Network Fabric
Compute Layer: AI Halls, GPU clusters, containerized workloads
Operations Layer: MLOps, security, orchestration, telemetry, and ESG reporting
From modular design to measurable performance — the AI Factory’s technology becomes capability.
ECOSYSTEM

Ecosystem & Monetization

“The future of energy and computation is shared — not owned.”
— Sam Altman, CEO of OpenAI

CHEVORA’s ecosystem connects compute, energy and intelligence into one monetizable loop. From AI training capacity to district heat reuse, each output becomes a new input — turning infrastructure into a regenerative business engine. Through partnerships with utilities, cloud providers, research and industry, CHEVORA enables a circular model where energy, data and value continually flow.

Ecosystem Layers
Infrastructure Partners: Energy utilities, grid operators, modular builders
Compute Partners: Cloud platforms, AI research, GPU vendors
Operational Partners: Managed services, financing, ESG auditors
End Users: Enterprises, industries, public sector, research institutions

Compute Capacity

  • GPUaaS (training & inference)
  • HPC colocation & orchestration
  • Rendering & real-time analytics

Energy & Heat Reuse

  • District heat export (city networks)
  • PPAs & on-site generation
  • Liquid cooling efficiency

Services

  • Observability & security
  • Managed ops & SRE
  • Financing & SLAs

Who we serve

Global & Regional Cloud

Platforms expanding regional coverage and seeking low-latency capacity outsourcing.

HPC & AI Workloads

Startups, research groups and universities training models and running inference at scale.

Enterprises & Industries

Finance, manufacturing, automotive, healthcare — secure and scalable compute needs.

Integrators & Service Providers

Consultancies, integrators and MSPs building solutions for corporate and public sector.

AI Infrastructure Platform
Purpose-built for high-density compute, fast deployment and sustainable operations.

Building AI products, platforms or research? Let’s align your workloads, SLAs, security and timelines — co-design your workload landing zone in CEE.

How value is captured

Colocation Services

Hosting ultra-dense workloads in modular, high-efficiency infrastructure.

GPU-as-a-Service

On-demand access to advanced GPU clusters for training and inference.

District Heat Export

Reusing waste heat to city networks for additional revenue and sustainability.

Managed Services & SLAs

Operations, observability, security, financing, and enterprise-grade support.

Every watt, every rack, every connection — part of a living ecosystem where computation feeds innovation, and innovation feeds the grid.
CAPABILITIES

Where Performance Meets Purpose — The AI Factory in Action

“Technology becomes capability only when it serves human intelligence.”
— CHEVORA Philosophy, 2025

The Capabilities section defines how CHEVORA’s technology transforms into measurable, real-world performance.

While Technology explains how the system works, Capabilities shows what it delivers — the scalable power, integration, and sustainability that shape the AI Factory’s evolution.

It is a transition from engineering to execution, from infrastructure to impact, and from technology to trust.

Scale & Roadmap

From first megawatts to campus scale — phased growth aligned to demand.
Each element can be expanded ▼ / ▲ for deeper detail.
Quick Start2 MW
≈ 20–33 racks · D2C pilots
▼
Scale-out4 MW
≈ 33–50 racks · D2C + RDHx
▼
Heat Export8 MW
≈ 53–80 racks · Immersion pods
▼
Campus-grade20 MW
≈ 100–200 racks · Mixed D2C + Immersion zones
▼
Each stage increases AI density (60–200 kW per rack), heat recovery, and total computational capacity — maintaining PUE ≤ 1.2 and full operational continuity across phases.

Functional Layers — From Infrastructure to Intelligence

“High performance is not just about speed — it’s about efficiency, scalability, and balance.”
— Lisa Su, CEO, AMD
Compute Layer
AI & HPC workloads
GPU clusters, containerized training zones, workload orchestration
Network Layer
Data movement
1–3 Tbit/s fabric, dual DWDM links, cross-cloud connectivity
Energy Layer
Power & cooling loop
Direct-to-chip, RDHx, and heat-to-grid integration
Intelligence Layer
System self-optimization
ML-based telemetry, predictive maintenance, AI-driven PUE control

System Reliability & Transparency

Security
Reporting
Redundancy
Monitoring
CHEVORASystem Core

Sustainability in Motion

Turning every watt into intelligence — and every cycle into sustainability.

  • Circular energy loop (heat-to-grid → district reuse).
  • ESG alignment under EU Sustainability Directive.
  • Net-positive impact measured through verified HRE and CO₂e reduction.

Metrics & Compliance — Building for Trust and Transparency

CategoryMetric / Standard
Energy EfficiencyPUE ≤ 1.2 (base) · ≤ 1.15 (target)
Heat Reuse≥ 40 % (base) · target 65–85 %
Renewable Integration≥ 15 % solar coverage
StandardsCE / EN 50600 / ISO 50001 / ESG Ready
Operational Uptime99.99 % availability
Sustainability ReportingAnnual ESG + Energy Audit

As digital infrastructure matures, intelligence becomes its true metric.

CHEVORA reflects the evolution of data centers into living ecosystems —
where computation, energy, and sustainability exist in equilibrium,
serving both human progress and planetary responsibility.

PARTNERSHIP

Partnership Tracks

“Coming together is a beginning; keeping together is progress; working together is success.”
— Henry Ford

We are building a partner ecosystem, uniting capital, technology, and enterprise to create next-generation AI infrastructure.

Each phase is a careful balance of financial discipline, technological excellence, and sustainable growth.

Join us to turn megawatts into intelligence — responsibly, profitably, and ahead of the curve.

Contact Us
Let’s align incentives — and turn every watt into intelligence.
GLOSSARY

Glossary — Key terms, definitions & sources

Key terms with definitions and sources.
Loading glossary...
Open full Glossary →
Contacts

Contact us for collaboration, partnership, or general inquiries.

Information provided will be used solely to respond to your inquiry.