AI Data Center Colocation | GPU & AI Infrastructure

Project Overview

Green Energy. High-Performance. Modular.

The Coinfast Intelligent Data Center is planned as a large-scale intelligent computing cluster — supporting AI training, inference, cloud computing, and big data processing. Construction follows a modular, phased-expansion approach with capacity adjustable to client demand.

Green

Energy Driven

24/7

Operations & Support

GPU

AI Compute Ready

Low PUE

Efficiency Design

Core Advantages

Four pillars of competitive infrastructure.

1. Green Energy Driven

Combining renewable energy with efficient energy management reduces operational energy consumption and carbon emissions.

High proportion of green electricity
Low energy consumption design
Sustainable operations model

2. High-Efficiency Architecture

Advanced energy-saving architecture ensures stable operations with excellent energy efficiency performance.

Low PUE target design
Natural cooling utilisation
Smart energy monitoring systems

3. High-Performance Computing Platform

Complete AI and HPC support for all major compute workloads.

GPU / CPU computing resources
AI model training and inference
Cloud computing and data storage
Private and custom deployments

4. Stability & Security

Planned to international data center construction standards.

Multiple power supply guarantees
7x24 operations team
Network and data security management
Real-time monitoring and risk alerts

Service Models

Flexible ways to access compute.

Compute Rental: On-demand compute services for enterprise and institutional clients.
Custom Deployment: Industry-specific model support, on-premises private compute infrastructure.
Strategic Partnership: Energy, technology, and investment partners welcome to co-develop the project.

Target Clients

Technology companies requiring AI training and inference compute.
Big data and cloud computing service providers.
Government and research institutions.
Strategic partners with long-term compute capacity planning.

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