Super Micro Computer, Inc. (SMCI), a leading provider of end-to-end IT solutions for AI/ML, HPC, cloud, storage, and 5G/Edge, has introduced a new range of complete, ready-to-deploy solutions designed to simplify AI factory implementation and significantly accelerate time-to-market. These next-generation, rack-scale clusters are built on NVIDIA’s enterprise reference architectures and the advanced NVIDIA Blackwell GPUs. Moreover, Supermicro delivers these clusters as fully integrated solutions, complete with the NVIDIA software suite and NVIDIA Spectrum-X Ethernet networking, ensuring that enterprises can rapidly adopt AI at scale.
Additionally, Supermicro’s Data Center Building Block Solutions (DCBBS) further streamline expansion for AI factories. The offering provides all resources required to build a new greenfield AI-optimized data center or transform existing infrastructure into a modern AI factory. As a result, organizations can shorten deployment timelines and avoid the complexity of coordinating multiple vendors.
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“Supermicro has consistently led the industry in terms of time to market for new rack-scale GPU technologies, and we are leveraging our expertise in delivering large-scale AI infrastructure based on NVIDIA GB300 NVL72 and NVIDIA HGX B300 to enable the democratization of AI for enterprises across all sectors,” said Charles Liang, President and CEO of Supermicro. “The AI factory is the foundation for transforming any enterprise into an AI enterprise, and together with our Data Center Building Block Solutions, Supermicro and NVIDIA are helping enterprises accelerate and simplify the deployment of AI factories to the industry’s shortest time to time (TTO).”
Moving forward, Supermicro is offering extensive AI factory solutions built on NVIDIA-certified systems featuring Blackwell GPUs. These systems are engineered for peak performance and efficiency, especially in traditional data center environments where limitations around power, cooling, and physical space often hinder AI adoption. Furthermore, these AI factory solutions integrate Spectrum-X networking and align with NVIDIA enterprise reference architectures supporting the NVIDIA RTX PRO 6000 Blackwell Server Edition and NVIDIA HGX B200 GPUs.
To enhance scalability, Supermicro provides pre-configured cluster units in small, medium, and large options, ranging from 4 nodes with 32 GPUs to 32 nodes with 256 GPUs. Each cluster undergoes L12-level testing at Supermicro’s global manufacturing facilities, including its San Jose, CA location. They also include the full NVIDIA software stack NVIDIA AI Enterprise, NVIDIA Omniverse, and NVIDIA Run:ai along with Spectrum-X Ethernet networking and fully integrated cabling. Thus, customers receive a plug-and-play solution ready for immediate AI token generation.
In addition, Supermicro offers comprehensive storage solutions for the entire AI data pipeline. Through partnerships with leading independent software vendors, the company supports the NVIDIA AI Data Platform reference design, enabling seamless end-to-end AI workflows.
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Currently, Supermicro is accepting orders for AI factory clusters in 4-, 8-, and 32-node configurations with NVIDIA RTX PRO 6000 Blackwell Server Edition or NVIDIA HGX B200 GPUs, optimized for diverse AI and HPC workloads.
The lineup also includes universal AI, HPC, and visual computing clusters built on Supermicro’s 4U and 5U PCIe GPU systems, each providing 8 GPUs per node. These systems handle AI inference, enterprise HPC, graphics, and rendering, helping businesses run multiple applications on shared infrastructure.
For organizations requiring maximum performance, Supermicro offers advanced AI and HPC clusters powered by NVIDIA HGX B200 8-GPU nodes with full NVIDIA NVLink support, designed for high-intensity AI model training and high-performance computing tasks.
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