Enterprise AI Infrastructure Services & Solutions

Introducing
Project Genesis

A global program to build and operate sovereign-grade AI factories wherever critical workloads need to run.

Project Genesis turns land, power, data centers, and GPU clusters into a single, repeatable AI factory model instead of a one-off infrastructure project. It gives hyperscalers, governments, AI labs, and enterprises a faster, lower-risk path to large-scale AI capacity than traditional data center builds.

Multi-modal Ai

Key Capabilities

End-to-End Delivery

Uvation owns planning, design, deployment, and operations, from first site shortlist to live AI factory. This keeps one accountable partner across land, power, facilities, and GPU infrastructure.

Integrated Energy Infrastructure

AI factories are engineered around dedicated, behind-the-meter power that can scale with GPU demand. Designs are nuclear-ready and built to support high-density AI workloads without overloading regional grids.

Global Deployment Expertise

Uvation applies a common AI factory blueprint across the US, Canada, Brazil, Europe, the GCC, and Asia. Local partners and regulators shape the details; the underlying factory model stays consistent.

Multi-modal Ai

Key Capabilities

End-to-End Delivery

Uvation owns planning, design, deployment, and operations, from first site shortlist to live AI factory. This keeps one accountable partner across land, power, facilities, and GPU infrastructure.

Integrated Energy Infrastructure

Global Deployment Expertise

Uvation applies a common AI factory blueprint across the US, Canada, Brazil, Europe, the GCC, and Asia. Local partners and regulators shape the details; the underlying factory model stays consistent.

Era of scales

Why It Matters

AI is moving from single data centers to giga-scale campuses, with GPU power needs outpacing what many grids can deliver. Traditional build-outs are too slow, too fragmented, and not designed for the power density modern AI requires.

Project Genesis solves this by pairing standardized AI factories with long-horizon power strategies, so capacity can grow in repeatable units instead of one-off sites. Organizations get clearer economics, shorter timelines, and infrastructure that can keep up with AI roadmaps.

metric	Current (2026)	5-Year Forecast (2031)	10-Year Forecast (2036)
Global AI Power Load	~25,000 MW	~75,000 MW	~150,000+ MW
Standard Cluster Size	10–50 MW	100–500 MW	1,000 MW+ (1 GW scale)
Rack Density (Average)	30–50 kW	100–500 MW	200 kW+ (immersion-ready infrastructure)
Primary Power Source	Grid (Mixed)	Grid + Renewables	Nuclear (SMR/MMR-driven AI campuses)

Era of scales

Why It Matters

metric	Current (2026)	5-Year Forecast (2031)	10-Year Forecast (2036)

Global AI Power Load

~25,000 MW

~75,000 MW

~150,000+ MW

Standard Cluster Size

10–50 MW

100–500 MW

1,000 MW+ (1 GW scale)

Rack Density (Average)

30–50 kW

100–500 MW

200 kW+ (immersion-ready infrastructure)

Primary Power Source

Grid (Mixed)

Grid + Renewables

Nuclear (SMR/MMR-driven AI campuses)

Our Models
Four Core Deployment Models

Uvation provides repeatable, modular, and  compliant AI infrastructure designed for frontier- scale compute.

Traditional Data Centers

Large Language Model (LLM)Training and refinement

Enterprise AI platforms & Private AI clouds

National and regional sovereignAI initiatives

Large-scale, high-density datacenter deployments optimized for sustained AI training and enterprise workloads.

Key Characteristics

High-power GPU clusters for foundation model training and fine-tuning
Support for sovereign AI, regulated enterprise, and government workloads
Integration with existing Tier III / Tier IV facilities
High-bandwidth networking and redundant power infrastructure

Explore Traditional Data Centers

Large Language Model (LLM)Training and refinement

Enterprise AI platforms & Private AI clouds

National and regional sovereignAI initiatives

Space Ground Mesh Ecosystem

Edge AI sites (inference)

Modular AI factories (training)

Our Models

How Uvation Executes

Uvation brings strategy, power, facilities, and GPUs under one execution framework for AI factories

metric

Current (2026)

5-Year Forecast (2031)

10-Year Forecast (2036)

Global AI Power Load

~25,000 MW

~75,000 MW

~150,000+ MW

Standard Cluster Size

10–50 MW

100–500 MW

1,000 MW+ (1 GW scale)

Rack Density (Average)

30–50 kW

100–500 MW

200 kW+ (immersion-ready infrastructure)

Primary Power Source

Grid (Mixed)

Grid + Renewables

Nuclear (SMR/MMR-driven AI campuses)

Our Models
Four Core Deployment Models

Traditional Data Centers

Space Ground Mesh Ecosystem

Edge AI sites (inference)

Modular AI factories (training)

How Uvation Executes

AI Factories

Infrastructure

Cyber

Networks

Services

Support

Marketplace

AI Factories

Infrastructure

Services

Support

Marketplace

Discover

Resources

Our Models
Four Core Deployment Models

Traditional Data Centers

Space Ground Mesh Ecosystem

Edge AI sites (inference)

Modular AI factories (training)

How Uvation Executes

Our ModelsFour Core Deployment Models

Traditional Data Centers

Space Ground Mesh Ecosystem

Edge AI sites (inference)

Modular AI factories (training)

How Uvation Executes

Our ModelsFour Core Deployment Models

Traditional Data Centers

Space Ground Mesh Ecosystem

Edge AI sites (inference)

Modular AI factories (training)

How Uvation Executes

Our Models
Four Core Deployment Models

Our Models
Four Core Deployment Models