{"id":20630,"date":"2026-10-23T09:12:53","date_gmt":"2026-10-23T09:12:53","guid":{"rendered":"https:\/\/www.fibermall.com\/blog\/?p=20630"},"modified":"2026-10-23T09:12:56","modified_gmt":"2026-10-23T09:12:56","slug":"4-node-dgx-spark-cluster-setup-from-hardware-bom-and-cabling-to-first-boot-and-200g-interconnect","status":"publish","type":"post","link":"https:\/\/www.fibermall.com\/blog\/4-node-dgx-spark-cluster.htm","title":{"rendered":"4-Node DGX Spark Cluster Setup: From Hardware BOM and Cabling to First Boot and 200G Interconnect"},"content":{"rendered":"\n

Building a 4-node NVIDIA DGX Spark cluster<\/strong> involves more than simply connecting four powerful AI systems. The real challenges often lie in the details: a machine without native USB-A ports, a switch port that refuses to establish a link, or a firmware update that fails unexpectedly and requires system recovery.<\/p>\n\n\n\n

This guide provides a complete runbook based on our four-unit build, covering the hardware bill of materials (BOM), rear-panel connections, DGX OS first-boot setup, hostname configuration, point-to-point 200G QSFP link testing, and the switch configuration changes that resolved a 200G ConnectX-7 link issue on a MikroTik CRS812 400G port.<\/p>\n\n\n\n

If you are building a compact Arm-based AI cluster for distributed inference, model fine-tuning, or AI research, this guide walks through the setup process in a practical sequence, from initial hardware preparation to network verification.<\/p>\n\n\n\n

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