“SMCI's Direct Liquid Cooling (DLC) systems are a core competitive advantage — they were shipping liquid-cooled AI racks 12–18 months before most competitors had qualified designs. SMCI DLC now standard on all NVIDIA GB200 NVL72 rack deployments. Management guided liquid-cooled systems growing to over 30% of revenue in FY26, up from under 10% in FY24.”

“SMCI revenue is a direct function of NVIDIA GPU allocation — every GB200 NVL72 rack they build requires CoWoS-packaged Blackwell GPUs. SMCI confirmed being a Tier-1 NVIDIA partner with preferred GPU allocation. Revenue trajectory is essentially a derivative of NVIDIA's CoWoS-constrained shipment schedule. When packaging loosens, SMCI revenue accelerates.”

“Each GB200 NVL72 rack shipped by SMCI contains 72 GB200 GPUs × 192 GB HBM3E = 13.8 TB of HBM per rack. SMCI's backlog of NVL72 orders is a direct forward indicator of HBM demand — a rack cannot ship without fully qualified HBM stacks bonded to Blackwell dies. SMCI's rack backlog is therefore a leading demand signal for SK Hynix and Micron HBM.”

“SMCI's rack-level power delivery systems managing 120kW+ per NVL72 rack — requiring precision power buses, busbars, and high-efficiency PSUs. SMCI developing proprietary rack power architecture to optimize efficiency at AI cluster scale. Power delivery is becoming a product differentiator alongside cooling — customers evaluating total rack TCO, not just GPU price.”

“AI training servers require high-capacity, high-throughput NVMe storage for dataset staging. Each SMCI AI training system ships with 4–8 enterprise SSDs per node. Storage attach rate and capacity growing as AI training datasets scale — but storage is a small fraction of SMCI's total BOM vs. GPU and cooling costs.”