5MW AI Data Center Full-Stack Solution
1. Executive Summary
This proposal presents a comprehensive 5MW AI-ready data center solution designed to support high-density GPU workloads, AI training clusters, and high-performance computing (HPC) applications.
The solution delivers a full-stack architecture, integrating compute, network, storage, power, cooling, and intelligent management systems into a unified platform. It ensures high performance, scalability, reliability, and energy efficiency, enabling customers to deploy next-generation AI infrastructure.
2. Design Objectives
Support AI and GPU-intensive workloads
Enable high-density deployment (30kW–100kW+ per rack)
Achieve high energy efficiency (PUE ≤ 1.25)
Ensure high availability (Tier III / Tier IV ready)
Provide modular and scalable architecture
Comply with Mexico NOM standards and NEC/UL requirements
3. Full-Stack Architecture
Logical Architecture
Application Layer: AI training, inference, big data
Compute Layer: GPU servers, HPC clusters
Storage Layer: NVMe storage, distributed storage, object storage
Network Layer: Spine-leaf architecture, 400G high-speed network
Infrastructure Layer: Power, cooling, racks, and physical systems
Management Layer: DCIM, monitoring, and AI-driven optimization
4. Compute Infrastructure
The compute layer is designed to support high-performance AI workloads:
GPU servers (8–16 GPUs per node)
AI training clusters (20–40 nodes per cluster)
HPC architecture optimized for parallel processing
High-density rack deployment
This ensures efficient processing of large-scale AI models and datasets.
5. Network Infrastructure
The network architecture provides high bandwidth and ultra-low latency:
Spine-leaf data center network design
100G / 400G Ethernet (400G recommended)
AI fabric support (RoCE / InfiniBand-ready)
Optical transceivers and fiber cabling
This enables fast data exchange between GPU nodes and storage systems.
6. Storage Infrastructure
The storage layer supports large-scale AI datasets:
NVMe all-flash storage systems
Distributed storage architecture
Object storage for AI datasets
High-throughput data pipelines
The system is scalable from 5PB to 20PB+, ensuring long-term capacity growth.
7. Power Infrastructure
Power Architecture
Utility Grid
→ Medium Voltage Switchgear
→ Transformer (13.8kV to 480V)
→ Low Voltage Switchgear
→ UPS System (N+1 redundancy)
→ Busbar System
→ Rack PDU
Recommended Configuration
3 × 2MW modular UPS systems (N+1)
Busbar distribution system (RiLine60)
Intelligent PDUs
Battery backup (15–30 minutes)
This ensures high reliability and continuous operation for mission-critical workloads.
8. Cooling Infrastructure
Cooling Strategy
Standard Solution
In-row precision cooling
Chilled water system
Cold aisle containment
Advanced AI Solution
Cold plate liquid cooling
Hybrid air + liquid cooling
Cooling Plant
Air-cooled or water-cooled chillers
Magnetic levitation chillers (high efficiency)
Intelligent cooling station systems
The cooling system supports high-density racks (up to 100kW+) and ensures low PUE operation.
9. Physical Infrastructure
Micro modular data center design
Prefabricated or containerized solutions
Standard 42U / 48U racks
Hot/cold aisle containment
Fire protection and security systems
This enables rapid deployment and flexible expansion.
10. Intelligent Management System
DCIM (Data Center Infrastructure Management)
Real-time monitoring and control
Energy efficiency optimization
Predictive maintenance
Remote operation and management
11. Example Deployment (5MW)
Total IT Load: 5MW
Number of racks: 100
Average rack density: 50kW
UPS configuration: 3 × 2MW (N+1)
Cooling: In-row + liquid cooling ready
Network: 400G spine-leaf architecture
Storage: 10PB NVMe distributed storage
Target PUE: 1.25
12. Key Advantages
Full-stack solution (IT + infrastructure integration)
Optimized for AI and GPU workloads
High-density ready (up to 100kW+ per rack)
Energy-efficient design (low PUE)
Modular and scalable architecture
Fast deployment capability
Local support in Mexico and Latin America
13. Compliance and Standards
Compliant with Mexico NOM standards
Compatible with NEC and UL requirements
Designed for 480V / 60Hz systems
Supports international data center best practices
14. Scalability and Future Readiness
Expandable from 1MW to 20MW+
Ready for liquid cooling upgrades
Supports future AI workload growth
Modular expansion capability
15. Conclusion
This 5MW AI data center solution provides a high-performance, scalable, and energy-efficient platform for next-generation AI workloads.
By integrating compute, network, storage, power, and cooling into a unified architecture, the solution enables customers to deploy reliable and future-proof AI infrastructure with optimized performance and operational efficiency.