Huawei unveiled innovative site power facility architectures and AI-based data center construction guidelines during MWC Barcelona 2025. These innovative systems boost the efficiency, sustainability, and resilience of digital infrastructure by combining futuristic AI computing methods with intelligent energy management solutions. Single SitePower provides solutions to optimize telecommunications network and data center power distribution through a combination of smart grids and real-time energy analytics for continuous service. The RASTM (Reliable Agile Sustainable) AI Data Center Construction Guideline provides the industry with best practices that help deploy scalable and environmentally friendly AI data centers to handle the growing power needs and rising cooling requirements in an AI workload-intensive environment.
Single SitePower from Huawei offers a complete power solution that improves energy efficiency (SEE), power availability (PAV), and carbon footprint reduction (NCIe) by using predictive AI maintenance and smart power flow management. RASTM establishes a complete framework that enables data center operators to implement AI-driven workload management techniques, liquid cooling methods, and dynamic energy management systems to support sustainable data center operations and lower costs. The company advances sustainable digital ecosystem development by supporting next-generation AI services through high-performance energy-efficient digital systems.
Single SitePower: Next-Generation Intelligent Architecture for Site Power Facilities
Huawei introduced the “Single SitePower” architecture, a pioneering solution that integrates energy, wireless, and power grid systems to create a resilient and intelligent site power infrastructure. This architecture establishes a three-level coordination mechanism encompassing energy sources, networks, and loads to facilitate the bidirectional interaction of power and information flows. By enabling end-to-end sensing, visualization, and management, Single SitePower enhances site energy efficiency (SEE) and power availability (PAV), and reduces carbon emissions (NCIe).
The architecture is characterized by its resilience, achieved through the convergence of wireless and site energy networks, allowing for coordinated management of energy sources, storage, and loads to build a robust energy infrastructure. Additionally, it emphasizes green energy practices by incorporating technologies such as high-voltage series connections, optimizers, and intelligent algorithms, accelerating the realization of green energy value. Safety is also a critical focus, with Huawei advocating for high-quality, safe lithium batteries to ensure communication security and reliability.
RASTM: AI Data Center Construction Guidelines
Huawei developed the RAS^{TM} (Reliable, Agile, Sustainable) principles as an answer to changing AI computing requirements for constructing future data centers. The guidelines establish solutions for four essential backbone issues that include safety concerns and uncertainty scenarios and the need for speedy infrastructure setup as well as rising power utilization. The Reliable aspect requires that data centers maintain safety standards that begin at the design stage and extend through product selection and management systems and professional service delivery.
The Agile design principle promotes adaptable modules and flexible architectures to enable quick data center evolution toward evolving AI needs and fast installation capabilities. ‘Gay’ focuses on power supply enhancement by moving efficiency analysis from individual machine performance towards combined operations and extends its usage of SECO sustainable energy optimization models. The principles strive to build data centers that efficiently adapt while staying sustainable to match worldwide sustainability targets.
Smart Grid Integration for Site Power Facilities
The next-generation Single SitePower architecture from Huawei provides a system that connects naturally with smart grids to improve power reliability as it operates on telecommunications facilities as well as data centers. Real-time energy optimization along with predictive maintenance through an AI data center drives Huawei toward intelligent load balancing that cuts down energy waste and defends against power system falter. Through integrated system operations, site power facilities gain the ability to obtain and store renewable energy, which can be fed back to the electricity network. The combination of battery energy storage systems (BESS) with grid-interactive technology allows Huawei to provide a continuous power supply in electricity supply regions with instability. The solution addresses both power independence from fossil fuels and facility autonomy through zero-human-intervention operation.
Among the features of Huawei’s Single SitePower ecosystem stands the smart energy management system (EMS) that utilizes machine learning algorithms to examine power usage patterns for predicting energy demand variations. Dynamic power distribution adjustment capabilities through this system ensure that facilities use power optimally among their components. Through its digital twin integration, the EMS system enables users to predict and solve potential failures in advance before they appear. The technological enhancements enable the creation of power systems that both reduce carbon emissions and increase efficiency to fulfill worldwide sustainability goals.
AI-Optimized Cooling and Thermal Management for Data Centers
The expanding AI workloads drive data center performance limits, so Huawei uses AI-powered cooling solutions to manage temperature control through its RASTM (Reliable, Agile, Sustainable) AI Data Center Construction Guideline. The current cooling systems work inefficiently while being energy-intensive to operate, which produces high costs alongside carbon emissions. Huawei technology uses AI to track active heat production, which leads the system to automatically modify its cooling regime for improved airflow and power usage reduction. Huawei implements a cooling system that combines liquid cooling methods with immersion cooling and air cooling operated by artificial intelligence to attain maximum data center operational performance and control the environment temperature for essential IT infrastructure.
The Huawei AI cooling system analyzes data to predict thermal changes because of workload demands and outside environmental elements. The system uses self-learning algorithms that upgrade its cooling techniques throughout operation to achieve approximately 30% energy consumption decreases. CrAC (Computer Room Air Conditioning) units from Huawei operate through AI to allocate temperature-controlled air specifically toward high-density rack areas, which resolves server performance-damaging thermal issues and heat hotspots. The innovative cooling technologies allow hyperscale data centers to reach maximum cooling performance levels, resulting in longer hardware life spans as well as lower environmental footprints. Huawei revolutionizes data center energy management through its advanced approach, which makes efficient operation possible for next-generation AI workloads.
