Huawei AI Data Center Reference Design – Downloadable Blueprint

Huawei’s AI Data Center Reference Design provides a standardized, integrated, and high‑performance computing infrastructure tailored for large‑model training and inference. It follows the GB/T 50174 data‑center specifications and adds optimizations for high‑density, high‑energy, and high‑compute scenarios, enabling rapid deployment, stable operation, low‑carbon footprints, and intelligent O&M.

The design centers on a compute cluster built with a modular and prefabricated architecture. Each compute node is equipped with GPU/HBM acceleration servers, supporting 20–50 kW per rack for dense deployments. The network adopts a leaf‑spine topology with 100 Gb/200 Gb/400 Gb high‑speed switches and leverages RoCE/RDMA low‑latency technologies to ensure efficient multi‑GPU parallel training.

Power and cooling are engineered for resilience and efficiency. Power distribution follows A‑class fault‑tolerance, using dual‑source mains, UPS, and redundant high‑voltage DC with intelligent lithium‑ion batteries and fine‑grained energy‑management to guarantee uninterrupted supply. Fire protection, security, lightning protection, and grounding are reinforced with early‑warning systems and gas‑based fire suppression to mitigate equipment and data risks.

The platform layer integrates compute scheduling, cluster management, AI O&M, and DCIM monitoring, delivering elastic resource allocation, visualized resource usage, fault self‑healing, and optimal compute efficiency. The overall solution emphasizes replicability, practicality, and evolvability, supporting large‑scale deployments for scenarios such as massive model training, autonomous driving, and scientific super‑computing.

At the end of the article, a download link is provided for the full "Huawei AI Data Center Reference Design" package. Readers can obtain the PDF by replying with the keyword “Huawei AI” in the chat.