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Intel Xeon Scalable CPU Servers
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AMD EPYC™ Servers
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RackMount Server: 1U, 2U, 3U, 4U, 8U, 9U
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High Density Twin, Fat Twin, Multi Nodes Servers
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Multi-Processor Servers
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Dual-Processor Servers
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Single-Processor Servers
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Ultra High Performance Servers
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Maximum Performance GPU Servers
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Intel® Xeon® Scalable Family Servers
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Supermicro AMD EPYC™ Servers
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FatTwin, Multi Nodes, Hdoop SuperServer
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Single Processor SuperServer
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Dual Processor SuperServer
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Multi-Processor SuperServer
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Green Power SuperStorage Server
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Enclosure, MicroCloud, MicroBlade
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SuperMicro GPU Solution
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New Generation Ultra Server Solution
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JBOD
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SuperMicro SuperWorkstation
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High Performance GPU Station Towers
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GPU technology can bring unprecedented performance to a broad spectrum of workloads
up to 5X, 10X, … 100X
improvements in performance and efficiency. These workloads span from the rapidly growing generative AI market to enterprise inferencing, product design, visualization, and to the intelligent edge. Supermicro has built a portfolio of workload-optimized systems for optimal GPU performance and efficiency across this broad spectrum of workloads.
Use Cases
• Large Language Models (LLMs)
• Autonomous Driving Training • Recommender Systems Opportunities and Challenges
• Continuous growth of data set size
• High performance everything: GPUs, memory, storage and network fabric • Pool of GPU memory to fit large AI models and interconnect bandwidth for fast training Key Technologies • NVIDIA HGX H100 SXM 8-GPU/4-GPU
• GPU/GPU interconnect (NVLink and NVSwitch), up to 900GB/s – 7x greater than PCIe 5.0 • Dedicated high performance, high capacity GPU memory • High throughput networking and storage per GPU enabling NVIDIA GPUDirect RDMA and Storage. Solution Stack • DL Frameworks: TensorFlow, PyTorch
• Transformers: BERT, GPT, Vision Transformer • NVIDIA AI Enterprise Frameworks (NVIDIA Nemo, Metropolis, Riva, Morpheus, Merlin • NVIDIA Base Command (infrastructure software libraries, workload orchestration, cluster management) • High performance storage (NVMe) for training cache • Scale-out storage for raw data (data lake) |
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HGX H100 Systems
Multi-Architecture Flexibility with Future-Proof, Open-Standards-Based Design
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Benefits & Advantages
• High performance GPU interconnect up to 900GB/s - 7x better performance than PCIe
• Superior thermal design supports maximum power/performance CPUs and GPUs • Dedicated networking and storage per GPU with up to double the NVIDIA GPUDirect throughput of the previous generation
• Modular architecture for storage and I/O configuration flexibility with front and rear I/O options
Key Features
• 4 or 8 next-generation H100 SXM GPUs with NVLink, NVSwitch interconnect
• Dual 4th Gen Intel® Xeon® Scalable processors or AMD EPYC™ 9004 series processors • Supports PCIe 5.0, DDR5 and Compute Express Link (CXL) 1.1+ • Innovative modular architecture designed for flexibility and futureproofing in 8U or 4U. • Optimized thermal capacity and airflow to support CPUs up to 350W and GPUs up to 700W with air cooling and optional liquid cooling • PCIe 5.0 x16 1:1 networking slots for GPUs up to 400Gbps each supporting GPUDirect Storage and RDMA and up to 16 U.2 NVMe drive bays Medium
SYS-421GU-TNXR • 4U 4-GPU
• NVIDIA HGX H100 SXM 4-GPU • 6 U.2 NVMe Drives • 8 PCIe 5.0 x16 networking slots Large
SYS-821GE-TNHR / AS -8125GS-TNHR • 8U 8-GPU
• NVIDIA HGX H100 SXM 8-GPU • 16 U.2 NVMe Drives • 8 PCIe 5.0 x16 networking slots |
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 | Intel® C741 | 4th Gen Intel® Xeon® Scalable Processors | Up to 8TB DIMM | 24x 2.5" hot-swap HDD Bays | 2700W Redundant PSU | Please Inquire  |
