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HPC-enabled AI is attracting worldwide attention.

Delivering performance close to the data source: Edge systems optimized for a range of environments with Intel® Xeon® Scalable processors

High-Density Computing and Flexibility at the Intelligent Edge

Supermicro workstations and servers are powering the next generation of distributed 3D collaboration & Industry 4.0 with NVIDIA Omniverse Enterprise.

Supermicro’s Josh Grossman, Principal Product Manager, shows various configurations of the Universal GPU System and the benefit of being able to standardize the platform regardless of GPU and CPU choices for AI and HPC clusters.

Supermicro workstations and servers power workloads for small, large, on-premises or remote teams

Multi-Architecture Flexibility, Future Proof Open-Standards Based Design

Supermicro’s Universal GPU System is the industry’s most advanced and flexible GPU server platform in the market today. Designed for large scale AI deep learning and HPC workloads, this modular, open-standards based platform supports the best available GPU technologies in a variety of form factors and combinations both today and into the future.

Put up to 1.68 petaFLOPs per rack of supercomputing capacity into your data center with our performance and density-optimized solution with a resource-saving architecture

Simplifies Customer Deployments, Supports All Major CPU, GPU, and Fabric Architectures in the Highest Performance Configurations

This solution brief discusses Redis on Flash (Scaleflux computational storage) on the Supermicro X12 FatTwin Server and the performance and cost benefits that this configuration provides to data center customers.

Supermicro, AMD, and VMware Collaborate to Deliver Unprecedented Performance for HCI Database Workloads

Select From the Twin Family of Multi-Node Servers to Exactly Match Workload Requirements with Superior Functionality and Efficiency

Innovative Server Designs Lower Power Usage and Reduce E-Waste

With Supermicro AS -1114S-WN10RT Powered by AMD EPYC™ 7003 Series Processors