A practical guide to AI server backplane PCB design covering high-speed stack-up selection, signal integrity, PDN design, thermal strategy, and DFM review to improve manufacturing consistency at scale. This article explains the internal PCB composition of an AI server by disassembling the server hardware, so readers can gain a clearer understanding of the PCB types and their relative value within a system. Using the NVIDIA DGX A100 as a primary reference, given its detailed documentation, and acknowledging the similar design principles. From the perspective of backplane PCB manufacturing and assembly, an AI server backplane is a typical system-level project. Stack-up, materials, routing, copper weight, connectors, thermal paths, and process capability are all tightly coupled. Signal transmission is also quite interesting. High-speed signals traveling on a PCB generate various interferences, much like. AI server PCBs are high-performance printed circuit boards specifically engineered for artificial intelligence servers. Functioning as the “nerve centre” connecting GPUs, CPUs, memory, and high-speed interconnects, their technological sophistication and material properties directly determine the. AI Server PCB: How to Choose the Right Manufacturer for Data Centers October 30, 2025 Key Takeaways Mission-Critical Infrastructure: AI server PCBs represent the highest-value component in data centers, with costs reaching $170,000 per system. Extreme Technical Requirements: Demands 20-40+ layer.