This tutorial is for anyone aiming to build a high-performance AI server with 8 GPUs. Whether you're a researcher, developer, or enthusiast, you'll learn everything from hardware selection and assembly to system configuration and initial testing. 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. The analysis focuses on representative NVIDIA DGX systems to illustrate the basic. 3:01 pm September 6, 2025 By Julian Horsey What if you could take control of your AI ambitions, bypass the sky-high costs of pre-built systems, and create a solution tailored to your exact needs? Building your own AI server isn't just a technical project, it's a bold step toward empowering yourself. At the heart of this revolution are AI servers, powered by high-performance GPUs mounted on advanced HDI server PCBs. AI server PCBs form the backbone of AI computation, providing high-density interconnections, signal integrity, and power stability. PCBONLINE, a one-stop OEM PCB manufacturer. Far from being a mere passive connector, the PCB in an AI server is an active enabler, a high-speed highway meticulously engineered to handle the immense data flow and power delivery demanded by AI workloads. As a professional in the PCB industry, let me peel back the layers and reveal why these. The DGX A100 resembles a typical home computer and can be divided into five main hardware modules: Fan Module: Located at the front, the fan module consists of eight fans, which align with the standard 8U configuration found in traditional servers.