Test Systems
GtestWorks Automated Testing Platform
VectWorks 3.0 Electrical Performance Test Software
An AI server is a high-performance computing device specifically designed and optimized for handling artificial intelligence workloads. Unlike traditional servers, it is typically equipped with multiple high-performance CPUs and a large number of GPUs or specialized AI accelerators to deliver the massive parallel computing power required for deep learning model training and inference. Furthermore, it features high-speed interconnect networks and large-capacity memory to ensure efficient data flow. As the core infrastructure for AI, these servers are widely used in big data analytics, natural language processing, computer vision, and scientific simulations.
An AI server is a high-performance computing device specifically designed and optimized for handling artificial intelligence workloads. Unlike traditional servers, it is typically equipped with multiple high-···
The Solid State Transformer (SST), also known as the Power Electronic Transformer (PET), is a new type of power conversion device based on power electronics and high-frequency electromagnetic induction. Unlike traditional power-frequency transformers that operate on electromagnetic induction, SSTs achieve voltage transformation and isolation through high-frequency power electronic converters, essentially acting as highly integrated power electronic energy routers.
The rapid development of artificial intelligence technology is reshaping the power demand pattern of data centers. The exponential growth of AI workloads is driving data center power requirements from kilowatt to megawatt levels. Traditional power distribution architectures face multiple bottlenecks in space, copper usage, efficiency, and scalability. NVIDIA's 800V HVDC+SST solid state transformer solution brings revolutionary improvements to high-density AI data center power supply.
Based on Huawei's official "AI Data Center Reference Design" technical document, this report systematically reviews its energy solutions, technical architecture, and product system for intelligent computing scenarios, providing an end-to-end reference paradigm for data center construction and upgrade.
Technical Requirements for Solid-State Transformers for AIDC is a group standard for power-supply systems in artificial intelligence data centers. It focuses on the technical requirements of solid-state transformers under medium-voltage input, DC output, high-efficiency, and fast dynamic-response scenarios.
The AIDC Infrastructure Specification, short for Artificial Intelligence Data Center Infrastructure Specification, is the industry's first systematic technical standard focused on the construction of artificial intelligence data centers. The specification was pre-released on September 17, 2025 at the first AIDC Industry Development Conference and officially released as version 0.8 in January 2026 after approval by the technical steering committee on January 9, 2026.
Data center power supply modules are rapidly evolving towards high efficiency, high density, and intelligentization. To address the surge in computational demands and the "dual-carbon" goals, traditional uninterruptible power supply systems are gradually being replaced by more efficient architectures, such as 48V DC power supply, high-voltage DC, and distributed power systems. Modularization and lithium-based battery technology have become key trends in backup power units, while digital control enables more precise energy management.
