Supermicro Introduces the NVIDIA Vera CPU Rack, a 256 CPU, 100% Liquid-Cooled Rack-Scale Solution, Complementing the NVIDIA Vera Rubin Platform, for Agentic AI at Scale

manilatimes.net · 2026-10-22

**media[1271530]**Delivers dedicated 256 NVIDIA Vera CPU capacity for agent sandboxes, complementing NVIDIA Vera Rubin NVL72 with common DCBBS infrastructure with third-generation NVIDIA MGX racks and battery backup unitsIntegrates NVIDIA Vera CPUs and BlueField™-4 DPUs with the NVIDIA Open Agent Safety Platform and OpenShell Reference Architecture for secure, high-density agentic AI orchestration and continuous monitoring and policy enforcementLeverages Supermicro DCBBS to deliver a complete, integrated data center solution-from liquid-cooled rack architecture and power infrastructure to networking, cooling, and deployment services-enabling customers to build and scale full AI factories for agentic workloadsSAN JOSE, Calif., Oct. 22, 2026 /PRNewswire/ -- Super Micro Computer, Inc (NASDAQ: SMCI), an AI, Enterprise, Storage, and 5G/Edge Total IT Solution Provider featuring Data Center Building Block Solutions® (DCBBS), today announced the NVIDIA Vera CPU rack as the latest addition to the DCBBS portfolio. The NVIDIA Vera CPU rack delivers dense CPU capacity for agentic AI, reinforcement learning (RL) workloads, and data processing, supporting 22.5K sandboxes at liquid-cooled AI factory scale. Complementary to the now shipping Supermicro NVIDIA Vera Rubin NVL72, the 100% liquid-cooled CPU rack can be used either standalone or alongside NVIDIA Vera Rubin NVL72 in AI factories, providing clusters with high-density CPU compute, designed to address the rapidly escalating requirements of agentic AI.**media[1271532]**

TickrTrends take: Supermicro's introduction of a specialized liquid-cooled rack solution for NVIDIA's Vera CPU platform demonstrates the company's ability to capture infrastructure demand within the rapidly expanding agentic AI segment. TickrTrends currently rates SMCI as undervalued within the Technology sector, suggesting the market may not be fully pricing in the revenue potential from this type of advanced data center infrastructure as enterprises scale AI deployments. Investors monitoring this valuation should track whether this product offering translates into meaningful order flow and margin expansion in coming quarters.

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