In this overview, Jun Yamog guides you through the essentials of building a high-performance AI server, from selecting the right GPUs to optimizing thermal management. RTX 3090: Two RTX 3090s with NVLink are a common choice for running large AI models. NVLink can provide improved communication between GPUs, though for many AI tasks, traditional. Artificial intelligence is revolutionizing industries with intelligent automation, better data analysis, and more innovative solutions. However, to unlock AI, strong computing resources are necessary where the more traditional Central Processing Units (CPUs) are less efficient, and Graphics. This article dives into why a purpose-built EdgeAI machine can outperform traditional cloud solutions and provides a step-by-step guide to building a powerful, dual-GPU system. Why Go Local? When faced with the need for serious GPU power, many people's first thought is to rent it from the cloud. Building your own GPU server with an RTX 4090 or RTX 5090 — like the one described here — enables a high-performance eight-GPU setup running on PCIe. A comprehensive guide to designing, building, and optimizing GPU servers for AI, machine learning, data science and high-performance computing.