Supermicro Broadens AI at the Edge Solutions Portfolio with Intel-Powered Platforms Optimized for Low-Latency Inference and Industrial Deployments

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Accelerate Edge AI Adoption with Low-Latency, Power-Efficient Systems Optimized for Retail, Manufacturing, Security, and LogisticsDeploy Larger AI Models at the Edge with Up to 32GB VRAM, Multi-GPU Scalability, and High-Bandwidth Memory ArchitecturesFlexible Portfolio Combines Integrated NPUs, Discrete GPU Acceleration, and Compact Form Factors to Reduce TCO and Simplify AI DeploymentSAN JOSE, Calif., June 23, 2026 /PRNewswire/ -- Super Micro Computer, Inc. (NASDAQ: SMCI), an AI, Enterprise, Storage, and 5G/Edge Total Solution Provider, featuring Data Center Building Block Solutions® (DCBBS), today announced expanded support for AI-optimized edge computing solutions powered by Intel technologies, including new systems featuring Intel Core Ultra Series 3 processors, Intel Core Series 2 processors, and Intel Arc Pro B-series GPUs. The systems range from compact, fanless systems for industrial applications, short-depth 1U rackmount servers for space-constrained environments, and a mini tower for office environments. Designed to be a cost optimized solution for low-latency AI inferencing and intelligent automation, the expanded portfolio helps organizations across retail, manufacturing, physical security, transportation, and logistics deploy scalable, power-efficient AI at the edge."As agentic AI adoption accelerates, organizations need edge infrastructure that can deliver real-time inferencing, low-latency performance, and power efficiency close to where data is generated," said Mory Lin, vice president, IoT/Embedded and Edge Computing at Supermicro. "Our latest Intel-powered edge systems, plus our DCBBS portfolio, give customers greater cost control and flexibility to deploy and scale AI workloads across demanding edge environments."For more information about Supermicro's Edge AI solutions powered by Intel, visit www.supermicro.com/intel-edgeAI attend the joint Intel and Supermicro webinar on June 25th and check out the video summary."AI workloads at the edge require a combination of high-performance compute, power efficiency, scalable acceleration, and the right total cost of ownership (TCO)," said Dan Rodriguez, corporate vice president and general manager, Edge Computing Group, Intel. "By combining Intel Core Ultra processors and Arc Pro GPUs with Supermicro's edge-optimized systems, customers can deploy AI solutions faster and more efficiently across a ...

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