Supermicro Rack Solution Features up to 256 of the Most Advanced NVIDIA PCIe GPUs in One Scalable Unit to Maximize Performance for 3D & AI Workloads, Optimized for NVIDIA Omniverse Large-Scale Deployments

Expanded Manufacturing Footprint is Targeted to Bring Global Liquid- Cooled Rack Capacity to More than Double Today's 1,000 AI SuperClusters Shipped Per Month

Generative AI SuperClusters, Integrated with NVIDIA AI Enterprise and NIM Microservices, Offer Instant ROI Gains and More AI Work per Dollar Through a Massively Scalable Compute Unit, Simplifying AI for Rapid Deployment

Supermicro's Expanded, Proven Portfolio Includes Systems Designed for Maximum Performance-Per-Watt on Cloud-Native, Storage Optimized, and Scale-Out Workloads, and Air and Liquid- Cooled Systems for AI and HPC Environments

Working with Datasection, KDDI, and Sharp, Supermicro Will Deploy Rack Scale Plug-and-Play Liquid-Cooled AI Solutions with Advanced NVIDIA GPUs at A New AI Data Center -- AI Data Centers with Green Computing Can be Free with a Bonus

Supermicro H13 3U MicroCloud Multi-Node Server and 1U, 2U Mainstream Server Family Features Performance Per Watt Optimized AMD EPYC 4004 Series Processors and Solutions that Deliver Power Efficient Options for Cloud Hosting and SMB Organizations

Complete Data Center Liquid-Cooled Solutions Enable AI Factories to be Constructed at Unprecedented Speeds Using the Latest Dense GPU Servers Equipped with the Highest-Performing CPUs and GPUs

CEO Talks About the Latest Innovations in Rack Scale Plug-and-Play (PnP) Solutions, Including Liquid Cooling, Increased Efficiency, and Optimized Performance for AI, Cloud, and Edge Computing

Supermicro's Extensive Portfolio of Systems Offers the Flexibility to Match Today's Demand for Workload Optimized and Liquid Cooled Data Centers and Incorporates the New Efficient-core and Performance-core Processors – Rack Scale Plug and Play Solutions for AI Factories, Enterprise/Cloud Workloads, and Edge Deployments

Supermicro Leverages New Intel® Atom® x7000RE CPUs for Efficient, Cost-Effective Distributed Performance at the Intelligent Edge