Supermicro 編輯部

• Accelerate Edge AI Adoption with Low-Latency, Power-Efficient Systems Optimized for Retail, Manufacturing, Security, and Logistics
• Deploy Larger AI Models at the Edge with Up to 32GB VRAM, Multi-GPU Scalability, and High-Bandwidth Memory Architectures
• Flexible Portfolio Combines Integrated NPUs, Discrete GPU Acceleration, and Compact Form Factors to Reduce TCO and Simplify AI Deployment

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• Total solution includes up to 1,152 NVIDIA Rubin GPUs and 576 NVIDIA Vera CPUs in liquid-cooled racks—3.2MW Scalable Unit delivers next-generation performance for AI workloads and FP64 simulation, scalable to research clusters of any size
• DLC-2 Direct Liquid Cooling supports 362 kW per rack with 3x in-row CDUs per Scalable Unit plus cold plates, manifolds, and SMC PG25-A ultra-high electrical impedance coolant
• End-to-end solution accelerates AI and HPC infrastructure buildout for scientific research starting with project planning and site survey, through manufacturing and testing, to on-site deployment

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SAN JOSE, Calif., June 11, 2026 - (BUSINESS WIRE) -- Super Micro Computer, Inc.

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SAN JOSE, Calif., June 9, 2026 - (BUSINESS WIRE) -- Super Micro Computer, Inc. (NASDAQ: SMCI) (“Supermicro” or the “Company”), a Total IT Solution Manufacturer for AI, Cloud, Storage, and 5G/Edge, today announced a series of concurrent equity and equity-linked financing transactions ‎totaling $7.0 billion, in expected aggregate amount, as part of its plan to fund the purchase of components to satisfy the AI orders that the Company has received in recent weeks for its advanced AI servers.

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• Arm AGI CPU is designed for maximum efficiency in agentic AI workload orchestration
• Supermicro rack-scale Arm AGI CPU designs increase agentic AI compute performance density within any power envelope
• Supermicro’s DCBBS capabilities and global manufacturing footprint reduce time-to-online (TTO) for large-scale AI infrastructure deployments

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