Supermicro SYS-821GE-TNHR AI GPU Server with Intel Xeon 8558, HGX H200 141GB and 8 × 400Gb InfiniBand
- उत्पाद श्रेणियाँ:सर्वर
- पार्ट नंबर:Supermicro SYS-821GE-TNHR
- उपलब्धता:In Stock
- स्थिति:नया
- उत्पाद की विशेषताएँ:शिपिंग के लिए तैयार
- न्यूनतम आदेश:1 इकाई
- पहले की कीमत:$899,999.00
- आपकी कीमत: $806,990.00 आप बचाते हैं $93,009.00
- अब चैट करें ईमेल भेजें
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Supermicro SYS-821GE-TNHR AI GPU Server with Intel Xeon 8558, HGX H200 141GB and 8 × 400Gb InfiniBand
Keywords
Supermicro SYS-821GE-TNHR, Supermicro AI server, H200 GPU server, NVIDIA HGX H200, H200 141GB, 8 SXM H200 GPU, 400Gb InfiniBand, AI GPU server, deep learning server, HPC server, Intel Xeon 8558, DDR5 5600 server, U.3 NVMe server, buy Supermicro server
Description
The Supermicro SYS-821GE-TNHR is an 8U high-performance Supermicro AI server designed for demanding artificial intelligence, deep learning, accelerated computing, and high-performance computing workloads. This configuration combines two Intel Xeon 8558 processors, 2TB of DDR5-5600 memory, enterprise SATA and U.3 NVMe storage, and an NVIDIA HGX H200 141GB 8-SXM GPU platform. For organizations looking for an enterprise-grade H200 GPU server, this system provides a powerful foundation for large-scale AI and GPU-accelerated workloads.
The centerpiece of the configuration is the NVIDIA HGX H200 platform with 8 × SXM GPU modules and 141GB H200 memory per GPU. An eight-GPU configuration provides substantial parallel acceleration for large language models, generative AI, scientific computing, machine learning, and other highly parallel workloads. The SXM-based architecture is designed for tightly integrated GPU computing and high-bandwidth communication between accelerators, making it particularly suitable for distributed AI training and inference.
The host compute platform uses 2 × Intel Xeon 8558 processors. Combined with 32 × 64GB DDR5-5600 ECC memory modules, the system provides a total of 2TB of system memory. The large memory footprint is useful for data preprocessing, AI model loading, virtualization of supporting services, high-performance analytics, and workloads that require substantial CPU-side memory capacity alongside GPU acceleration.
High-speed interconnect capability is provided through 8 × single-port 400Gb InfiniBand adapters. This makes the configuration particularly attractive for multi-node AI clusters, where fast GPU-to-GPU or server-to-server communication is essential. 400Gb InfiniBand connectivity can help support high-throughput distributed training, large-scale model development, scientific simulations, and other cluster computing workloads when paired with a compatible InfiniBand fabric.
For local storage, the system includes 2 × 960GB SATA SSDs and 2 × 3.84TB U.3 SSDs. The combination can provide separate capacity for operating-system or system functions and high-performance application, dataset, cache, or scratch workloads. As a U.3 NVMe server, the configuration is well suited to AI workloads that require fast local data access alongside large GPU resources.
The system is powered by 6 × 3000W power supplies, providing a substantial power envelope for the multi-GPU configuration. Rails are included for rack installation, while the 8U form factor provides the physical space required for the high-density GPU and networking architecture. Overall, this AI GPU server is designed for organizations building dedicated AI infrastructure, GPU compute clusters, research platforms, and advanced HPC server environments.
Key Features
- Supermicro SYS-821GE-TNHR 8U GPU-optimized server platform.
- 2 × Intel Xeon 8558 processors for high-density host computing.
- 32 × 64GB DDR5-5600 ECC memory modules.
- 2TB total DDR5-5600 system memory.
- 2 × 960GB SATA SSD for system and general-purpose storage.
- 2 × 3.84TB U.3 SSD for high-performance local storage.
- NVIDIA HGX H200 141GB 8-SXM GPU platform.
- 8 × H200 SXM GPU modules for AI and accelerated computing.
- 8 × single-port 400Gb InfiniBand adapters for high-speed cluster networking.
- 1 × dual-port 1GbE RJ45 network adapter for standard Ethernet connectivity.
- 6 × 3000W power supplies for the high-power GPU server architecture.
- Includes rack rails.
- Designed for AI training, inference, HPC, scientific computing, and GPU cluster workloads.
Configuration
| Component | Specification | Quantity |
|---|---|---|
| Server Model | Supermicro SYS-821GE-TNHR | 1 |
| Form Factor | 8U Rack GPU Server | 1 |
| CPU | Intel Xeon 8558 Processor | 2 |
| Memory | 64GB DDR5-5600 ECC RDIMM | 32 |
| Total Memory | 2TB DDR5-5600 ECC | 1 |
| System Storage | 960GB SATA SSD | 2 |
| High-Performance Storage | 3.84TB U.3 SSD | 2 |
| GPU Platform | NVIDIA HGX H200 141GB, 8-SXM GPU Platform | 1 |
| GPU | H200 141GB SXM | 8 |
| High-Speed Network | 400Gb InfiniBand Single-Port Adapter | 8 |
| Ethernet | Dual-Port 1GbE RJ45 Network Adapter | 1 |
| Power Supply | 3000W Power Supply | 6 |
| Rack Accessories | Rack Rail Kit | 1 |
Compatibility
The SYS-821GE-TNHR is intended for professional AI and accelerated-computing environments. The NVIDIA HGX H200 8-SXM architecture is designed for workloads that can take advantage of multi-GPU parallel processing, while the host Xeon platform provides CPU resources for orchestration, preprocessing, storage services, and supporting applications.
The 400Gb InfiniBand adapters are appropriate for compatible high-speed InfiniBand fabrics and cluster environments. Network switches, cables, transceivers, and software stacks should be selected according to the specific InfiniBand architecture and deployment requirements.
The 2 × 3.84TB U.3 SSD configuration provides fast local storage for datasets, scratch space, model checkpoints, applications, and other high-performance workloads. The 960GB SATA SSDs can be allocated for system or auxiliary storage according to the customer's preferred operating-system and storage design.
Because this is an extremely high-power 8U GPU platform, the deployment environment should provide adequate rack space, cooling, electrical capacity, airflow, and appropriate power distribution. The six 3000W power supplies should be connected according to the manufacturer's recommended power and redundancy configuration.
Usage Scenarios
The system is particularly well suited for deep learning server deployments. Eight H200 SXM GPUs provide a large accelerator pool for training and inference workloads involving large language models, computer vision, generative AI, recommendation systems, and other GPU-intensive applications.
For large-scale AI training, the combination of eight H200 GPUs and 400Gb InfiniBand connectivity makes the platform suitable for integration into multi-node GPU clusters. High-speed networking can help reduce communication overhead between compute nodes and support distributed training workloads when the complete cluster is appropriately designed.
Scientific and engineering organizations can deploy this HPC server for simulation, computational research, data analytics, molecular modeling, numerical workloads, and other applications that benefit from large-scale GPU acceleration and high-bandwidth interconnects.
For AI inference infrastructure, the large H200 GPU pool can support demanding production workloads requiring substantial GPU memory and parallel processing capacity. The 2TB system memory and high-speed U.3 local storage further support data pipelines, model serving, preprocessing, and caching operations.
As an enterprise Supermicro AI server, the SYS-821GE-TNHR can also serve as a dedicated building block for private AI infrastructure, research labs, GPU-as-a-Service platforms, and specialized compute clusters where high accelerator density and fast cluster networking are primary requirements.
Frequently Asked Questions
1. How many H200 GPUs are included in this Supermicro SYS-821GE-TNHR configuration?
The configuration includes 8 × NVIDIA H200 141GB SXM GPUs through an NVIDIA HGX H200 8-SXM platform. This provides a substantial multi-GPU accelerator environment for AI and HPC workloads.
2. How much system RAM does this H200 GPU server have?
The server includes 32 × 64GB DDR5-5600 ECC memory modules, providing 2TB of total system memory. This large memory capacity supports AI data preprocessing, model workloads, scientific computing, and other memory-intensive applications.
3. What networking is included with the SYS-821GE-TNHR?
The configuration includes 8 × single-port 400Gb InfiniBand adapters plus 1 × dual-port 1GbE RJ45 adapter. The 400Gb InfiniBand interfaces are particularly suitable for high-performance GPU cluster and distributed AI environments.
4. Is this configuration suitable for AI training clusters?
Yes. The combination of 8 × H200 141GB SXM GPUs, dual Xeon processors, 2TB DDR5 memory, U.3 SSD storage, and 400Gb InfiniBand connectivity makes this configuration well suited for large-scale AI training, distributed deep learning, generative AI, scientific computing, and other accelerated workloads.
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