What are the specific requirements for the wiring layout in an AI data center?
The AI data center has extremely high demands for network bandwidth, latency, and reliability. Therefore, its wiring layout (structured cabling) is more stringent compared to traditional data centers. In summary, it mainly focuses on the following core aspects:
1. Architecture and topology design: Optimize physical paths
AI data centers commonly adopt spine-leaf networks (Spine-Leaf) or fat-tree (Fat-Tree/Clos) architectures. These architectures aim to reduce latency and avoid network congestion, ensuring that the communication path between any two servers is the shortest and has consistent bandwidth. In terms of physical path planning, air-flow paths with aerodynamic characteristics should be prioritized to avoid cable blockage in cold and hot air channels. At the same time, it is necessary to ensure that the wiring is at least 30 centimeters away from power lines to prevent electromagnetic interference.
2. Medium selection: Copper cables and optical fibers in coordination
Short-distance connections (within cabinets): Within 3-5 meters of cabinets, direct copper cables are the preferred choice due to their high cost-effectiveness and extremely low latency; for server management and out-of-band connections, Cat6a or Cat8 copper cables are often used.
Medium-distance connections (between cabinets/rooms): Optical fibers are the absolute main force. Within cabinets or the same room, multi-mode optical fibers (such as OM4, OM5) are typically used, while the backbone between rooms must use single-mode optical fibers (such as OS2) to meet the requirements of long-distance and low-loss transmission.
3. High density and modularization: Handling massive connections
As AI networks evolve towards 400G, 800G, or even 1.6Tb/s, traditional LC connectors are gradually being replaced by high-density MPO/MTP multi-core connectors. This requires the wiring system to have high scalability and modularity, adopting pre-terminated solutions to facilitate seamless migration during future network upgrades and avoid frequent large-scale renovations.
4. Physical wiring specifications: Ensuring safety and performance
Bending radius and stress control: The bending radius at each part of the cable must meet the standards (generally, the cable R ≥ 3d, and the fiber R ≥ 40mm), and the cable ties should not be tied in the bending area to avoid stress causing core wire breakage.
Isolation and binding: AC and DC lines, as well as signal lines, must be separately laid (with a spacing greater than 100mm or with metal isolation). It is strictly prohibited to intertwine them. The binding spacing must be strictly regulated according to the diameter of the cable bundle, and the direction of the binding head should be consistent, with smooth cuts without sharp corners.
Plug-in margin: There must be a reasonable margin at the cable connection point, and pulling the plug can cause skew or stress.
5. Identification and document management: Improving operational efficiency
Labeling standards: Both ends of all cables should be labeled, and the labels should be consistent with the IT cabinet number, using durable and heat-resistant materials, avoiding bending points and binding points.
Detailed documentation: Detailed wiring diagrams, path diagrams, and connection information must be maintained, which can greatly simplify fault troubleshooting and shorten the average repair time (MTTR).
6. Strict testing and cleaning certification
Professional testing: Fibers need to undergo insertion loss and back loss tests; copper cables need to undergo standard tests such as near-end crosstalk (NEXT), far-end crosstalk (FEXT), etc., and generate audit-worthy test reports.
Interface cleaning: The optical module interface is extremely precise, and even a tiny amount of dust can cause signal attenuation or link interruption. Before plugging in or unplugging the optical module, it is necessary to develop the habit of using professional optical cleaning pens and detection microscopes for cleaning.
In summary, the wiring layout of an AI data center is a system engineering that combines network architecture, materials science, precise construction, and strict testing. Only by adhering to high standards of infrastructure construction can a stable, efficient, and future-oriented physical support be provided for AI workloads.
