Huawei AI Data Center Reference Design Analysis Report

1. Document Overview

This report is based on Huawei's official "AI Data Center Reference Design" and systematically analyzes its energy solutions for AI computing scenarios, covering design concepts, technical architecture, product system, and application recommendations.

1.1 Application Scenarios

Scenario	Description
Large-scale AI Training Cluster	Supports high-density GPU/NPU clusters for trillion-parameter model training
Large Model Inference Service	Provides high-density, low-latency computing infrastructure for AI inference
Hybrid Computing Deployment	Supports both AI and general computing hybrid deployment
New AI Data Center Projects	For planning and design of new intelligent computing centers
Data Center Upgrade	Reference for transforming traditional data centers to AI data centers

1.2 Target Audience

Data center planners and designers
Infrastructure architects
Project investors and decision makers
O&M managers
Industry researchers

2. Core Design Concepts

Huawei's AI Data Center Reference Design revolves around three core values: Reliable, Agile, and Sustainable, emphasizing end-to-end integration, modularity and standardization, and flexible adaptation.

2.1 Three Core Values

Core Value	Connotation	Implementation
Reliable	High reliability	Distributed power/cooling, fault domain minimization
Agile	Rapid deployment	Prefabricated modular, factory pre-integration, Lego-style on-site installation
Sustainable	Green & energy saving	Liquid cooling, high-efficiency UPS, smart temperature control, PUE optimization

2.2 Design Principles

End-to-end integration: From power supply, cooling, campus layout to auxiliary system synergy
Modularity & Standardization: Functional modularity, product standardization, scalable architecture
Flexible adaptation: Supports multiple power architectures, flexible rack power configuration, adapts to different power density needs

3. Technical Architecture Analysis

Covers core architectures such as power supply, cooling, network, and computing, forming an end-to-end product solution.

3.1 Power Supply Architecture

Architecture Type	Description	Application Scenario
2N Architecture	Dual independent power supply, mutual backup	Highest reliability
DR Architecture	Dual bus redundancy	High reliability, cost-effective
BR Architecture	Backup redundancy	General reliability

Key Equipment Configuration

Power Module (FusionPower9000): 40ft container, outdoor, up to 2.4MVA, IP55, typhoon-resistant, 25-year lifespan
Transformer: 2000~2500kVA, multiple in parallel
Diesel Generator (DCC): 2000~2400kW, matched to power module
UPS System (UPS5000-H): 300~1600kVA, 100kVA@3U hot-swappable, 97%/99% efficiency, 6 units in parallel
Lithium Battery System (SmartLi 3.0): LFP, 62.2~82.94kWh/cabinet, 5000 cycles, 10min backup, 70% space saving

3.2 Cooling Architecture

Cooling Type	Application Scenario	Technical Features
All Air Cooling	General room (≤10kW/rack)	Traditional air cooling
Hybrid Air-Liquid	AI computing room (50-70kW/rack)	Air wall + TMU synergy
All Liquid Cooling	High-density (132kW/rack)	Direct liquid cooling

Key Equipment

Air Wall (FusionCol8000-C210H): 210kW/unit, horizontal air supply, no raised floor, high water temp for lower PUE
Thermal Management Unit TMU (FusionCol600-L450MA): 450kW (dual pump), dual hot standby, 37/45℃ primary, 40/50℃ secondary
Closed Cooling Tower: For use with water-cooled chiller, supports free cooling
Chiller: 625~4220kW, air/water cooled

3.3 Network Architecture

Item	Description
Network Rack	12kW/rack, 6-10 racks/module
Structured Cabling	Pre-integrated with business lines
Busbar/Distribution Cabinet	Flexible selection

3.4 Computing Architecture

Level	Rack Power	Typical Application	Modules/Room
Entry	50kW/rack	General AI training	16 racks/module
Standard	70kW/rack	High-density AI	16 racks/module
Flagship	132kW/rack	Ultra-high-density cluster	8 racks/module

4. Key Technical Solutions

High-power-density racks, liquid cooling, and intelligent O&M solutions enable efficient and reliable data center construction.

4.1 High Power Density Rack Solutions

Solution	Module Config	Module Capacity	Typical Scenario	Cooling
50kW/rack	16 racks/module	872kW/module	RD01-RD05, 1.74~5.23MW	Hybrid (3:7)
70kW/rack	16 racks/module	1192kW/module	RD06-RD10, 2.38~7.15MW	Hybrid (2:8)
132kW/rack	8 racks/module	1176kW/module	RD11-RD14, 3.53~7.06MW	High-ratio liquid (2:8)

4.2 Liquid Cooling System Architecture

Parameter	Primary	Secondary
Inlet/Outlet Temp	37℃/45℃	40℃/50℃
Piping Interface	3 in (OD 91mm)	3 in
Filter Precision	50 mesh	270 mesh
Flow	650L/min (dual pump)	-

High efficiency: PUE 0.1~0.2 lower than air cooling
High density: Supports 132kW/rack and above
Low noise: Fewer fans, lower room noise
High reliability: Fault domain isolation, single rack failure does not affect the whole

4.3 Intelligent O&M Solutions

iPower: End-to-end monitoring, busbar temperature prediction, switch health assessment, auto-tuning
iCooling: AI optimization, cooling on demand, free cooling utilization
O&M Features: Environment monitoring, access control, CCTV, temp/humidity, water leakage detection

5. Comparison with AIDC Infrastructure Standards

Comparison with AIDC industry standards, analyzing Huawei's fit and unique highlights.

5.1 Design Level & Efficiency Comparison

Indicator	Huawei Reference	AIDC Standard	Evaluation
Design Standard	Tier III	Tier III/IV	Match
Availability	99.982%+	≥99.5%	Qualified
Extreme PUE	1.13	≤1.4	Excellent
Liquid Cooling	All series supported	Encouraged	Leading
UPS Efficiency	97%-99%	≥96%	Leading
Lithium Battery	All SmartLi	Recommended	Comprehensive

5.2 Construction Cycle & Highlights

Type	Huawei Reference	AIDC Standard	Evaluation
Prefabricated Modular	≤9 months	Fast delivery	Qualified
Steel Structure	≤12 months	Regular cycle	Qualified

Tier III standard, liquid cooling route highly consistent with standard
PUE 1.13, modular and digital O&M fully leading

6. Technical Highlights & Innovations

Innovations in architecture, products, cooling, and O&M.

6.1 Architecture Innovation

Prefabricated modular: Factory pre-integration, Lego-style installation, construction cycle reduced to 6-9 months
Building decoupling: Power modules outdoors, free up indoor space, lower load requirements

6.2 Product Innovation

FusionPower9000: IP55, typhoon-resistant, integrated UPS, lithium, air-con, fire protection
UPS5000-H: 99% efficiency, 1MW per cabinet, hot-swappable, 0ms switching
SmartLi 3.0: Active current sharing, triple BMS, AI prediction, 5000 cycles

6.3 Cooling Innovation

Hybrid cooling: Adjustable ratio 1:9~3:7, efficient, dual hot standby
Smart temperature: iCooling@AI, one-click max cooling, water quality monitoring

6.4 O&M Innovation

iPower: End-to-end visualization, AI predictive maintenance, health assessment
Digital delivery: CFD simulation, circuit simulation, standardized PIP

7. Application Recommendations

Scenario-based selection, implementation path, notes, and cost optimization for efficient deployment.

7.1 Scenario-based Selection

Scenario	Recommended Solution	Key Reason
Small-scale AI Center (<10MW)	Prefabricated Modular RD01-RD14	Fast deployment, ≤9 months
Large-scale AI Campus (10-50MW)	Steel Structure RD15-RD21	Flexible expansion, cost optimization
Ultra-high-density (>100kW/rack)	132kW/rack solution	Full liquid cooling
Hybrid Computing	AI + General Hybrid	AI & general computing
Extreme Climate	Outdoor power module	-20℃~+55℃

7.4 Cost Optimization

Direction	Measure	Expected Benefit
Construction	Prefabricated modular	30%+ cycle saving
Energy	Smart online mode	2%+ efficiency gain
O&M	AI predictive maintenance	Less downtime
Expansion	Modular on demand	Business growth match

7.2 Implementation Path

Needs Analysis: Define IT load, power density, site, reliability, PUE target
Solution Selection: Benchmark Huawei, select rack power, power/cooling architecture
Design Deepening: Engineering, CFD/circuit/structure simulation, implementation plan
Delivery & Operation: Standardized delivery, smart system deployment, O&M, continuous optimization

7.3 Notes

Design: Consider climate for PUE, water for liquid cooling, derating for altitude, seismic assessment
Construction: Plan transport, foundation, water training, fire acceptance
O&M: AI predictive maintenance, battery test, PUE optimization, spare parts

8. Summary

Huawei's AI Data Center Reference Design is a complete, mature, and practical solution covering 1.74MW to 50MW, supporting 50kW/rack, 70kW/rack, and 132kW/rack power densities.

High reliability: Tier III, flexible 2N/DR/BR, minimized fault domain
Fast deployment: Prefab modular 6-9 months, steel structure 12 months
Green & efficient: PUE 1.13, full liquid cooling
Smart O&M: iPower/iCooling AI, proactive management

This design provides a standardized, reusable paradigm for AI data center construction, highly aligned with AIDC standards, representing the leading technology in the field. Its successful application will provide important reference for China's computing infrastructure and promote healthy AI industry development.

Data source: Huawei "AI Data Center Reference Design" official document