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Supermicro stock rises on Nvidia Vera Rubin rack shipments By Investing.com
Investing.com -- Super Micro Computer (NASDAQ:SMCI) shares rose 1.7% Wednesday after the company announced it has begun shipping NVIDIA Vera Rubin NVL72 racks integrated with its Data Center Building Block Solutions and direct liquid cooling technology. The company said its DCBBS now supports
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Super Micro Computer Begins Shipping Nvidia Vera Rubin Server Racks
Super Micro Computer, Inc. is an application-optimized Total IT solutions provider including server, artificial intelligence (AI) systems, storage, Internet of Things (IoT) devices, switches, software, and support services. Total IT Solutions include complete servers, storage systems, modular blade
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Super Micro Computer has started shipping Nvidia Vera Rubin NVL72 racks featuring 72 Rubin GPUs and 36 Vera CPUs with direct liquid cooling technology. Each rack delivers 20.7 TB of HBM4 memory in a single liquid-cooled unit, marking a significant step in scalable AI infrastructure deployments for data centers.
Super Micro Computer (SMCI) announced it has begun shipping Nvidia Vera Rubin NVL72 racks integrated with its Data Center Building Block Solutions and direct liquid cooling technology
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. The company's shares rose 1.7% following the announcement, reflecting investor confidence in its expanding AI hardware infrastructure capabilities. The San Jose-based Total IT solutions portfolio provider has positioned itself to address the growing demand for scalable AI infrastructure deployments across data centers worldwide.Each Nvidia Vera Rubin NVL72 rack contains 72 NVIDIA Rubin GPUs and 36 Vera CPUs housed in a single liquid-cooled rack configuration
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. The system features 18 compute trays that collectively deliver 20.7 TB of HBM4 memory and up to 54 TB of LPDDR5X, providing substantial AI compute resources for demanding AI workloads. The Nvidia Vera Rubin platform was specifically designed to work with direct liquid cooling technology to achieve efficiency levels that remain unattainable with air cooling alone. This architectural approach addresses the thermal challenges posed by high-density GPU deployments in modern data centers.Super Micro Computer's DCBBS Blueprint defines a comprehensive bill-of-materials spanning from 5 MW to gigawatt scale implementations
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. Each Scalable Unit incorporates 1,152 GPUs and 331 TB of HBM4 memory, enabling organizations to scale their AI infrastructure according to specific requirements. The modular building block solutions approach allows customers to optimize configurations for exact workload and application needs by selecting from a comprehensive family of systems. This flexibility extends across form factors, processors, memory, storage, networking, power, and cooling solutions.Related Stories
Super Micro Computer manufactures liquid cooling components in-house at facilities located in the United States, Taiwan, and the Netherlands
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. The company produces cold plates, manifolds, hose kits, rack power shelves, cooling distribution units, and cooling towers internally. The in-row cooling distribution units are rated at 1.8MW per CDU and deployed with N+1 redundancy to ensure reliability1
. This vertical integration enables tighter quality control and faster deployment timelines for customers implementing large-scale AI infrastructure.Super Micro Computer provides end-to-end integration services that encompass site survey, project design, integration, testing, on-site deployment, and ongoing support
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. The company tests and validates every rack with the full liquid cooling stack before deployment, minimizing risks associated with complex AI hardware infrastructure installations. This comprehensive service model positions SMCI as a turnkey provider for organizations seeking to rapidly deploy AI compute resources without developing internal expertise in liquid cooling systems or site design complexities. The integration of Vera Rubin server racks into the company's portfolio strengthens its competitive position in the accelerating market for AI workloads infrastructure.Summarized by
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