Building a High-Quality Intelligent Computing Foundation to Power the AI Era Forward
Challenges in AIDC Construction
High Reliability Risks
AIDC business surge: Incident response times shift from hours to seconds.
Prolonged Construction Period
Traditional DC construction period ≥ 18 months; fails to meet requirements for fast delivery.
Difficulty in Matching IT Loads
The server power increases exponentially; traditional DC facilities cannot support IT evolution.
High Resource Consumption
Rapid AIDC expansion leads to significant energy consumption.
AIDC Construction Concept
Reliable
Ensuring AIDC lifecycle reliability across products, architecture, intelligent management, and
professional O&M
Highly reliable products
Process reliability, E2E full-link control
Highly reliable architecture
Distributed architecture, isolated backup power, and minimized fault domain
Intelligent management
AI-powered predictive maintenance, shifting from passive response to proactive prevention
Professional O&M
Eliminating potential risks during deployment and enhancing routine maintenance
Agile
Productized engineering, enabling flexibility for rapid AIDC construction and smooth evolution
Subsystem decoupling
Decoupling IT buildings from subsystems like power supply/distribution and cooling to
enhance architectural flexibility
Modular design
Modular design enables on-demand deployment and elastic capacity expansion.
Modular design
Modular design enables on-demand deployment and elastic capacity expansion.
Module prefabrication
Prefabricated modules are standardized in the factory, ensuring high-quality and rapid
delivery.
High-density convergence
Reconstructed power supply links enable one power supply per row for high density and
space saving.
Subsystem decoupling
Modular design
Module prefabrication
High-density convergence
Sustainable
End-to-End Low-Carbon AIDC
Efficient power supply
UPS efficiency improvement: single UPS > parallel UPS > full-link efficiency; S-ECO mode
reaches up to 99.1% efficiency
Efficient cooling
Air-liquid hybrid cooling and AI energy-efficiency optimization reduce cooling power
consumption
Efficient system
L1 (facility) and L2 (IT hardware) coordination to adjust power supply/distribution and
cooling capacity on demand
Computing-electricity collaboration
Direct green power supply, power grid collaboration, and load scheduling for innovative
AIDC construction mode
Efficient power supply
Efficient cooling
Efficient system
Computing-electricity
collaboration
Providing Comprehensive Solutions for AIDC Construction
For scenarios such as large AI model training and edge inference, Huawei continues to develop AIDC power
supply/distribution and thermal management technologies and delivers comprehensive AIDC solutions
through highly reliable products and collaboration within its global consulting ecosystem.
Integrating ecosystem resources, collaborating with consulting and design, solution development, and EPC
partners to build a comprehensive AIDC solution.
Consulting and Design Partners
Empowering consulting and design partners to drive industry standard design and continuous technology
leadership.
Solution Development Partners
Leveraging Huawei's core self-developed products and partnering with industry leaders to precisely
meet customer demands with optimized solutions.
EPC Partners
Collaborating with EPC partners to streamline the full-link process from compliance certification,
design, and delivery to project management, ensuring successful project implementation.