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Supermicro SYS-821GE-TNHR 8U Rackmount X13 DP GPU SuperServer

  • Key Features/Applications: High Performance Computing, AI/Deep Learning Training, Industrial Automation, Retail, Healthcare, Conversational AI, Business Intelligence & Analytics, Drug Discovery, Climate and Weather Modeling, Finance & Economics
  • CPU: Dual 5th/4th Gen Intel® Xeon® Scalable Processors, up to 64 Cores
  • Chassis: 8U
  • Drive: Up to 19x 2.5" Front Hot-Swap NVMe/SATA Drive Bays + 2x M.2 NVMe Slots
  • RAM: Up to 8TB of DDR5 ECC RDIMM in 32 DIMM Slots
  • GPU: Up to 8 Double-Wide GPUs
  • Network Ports: Flexible Networking Options
  • Power Supply: 6x 3000W Redundant (3 + 3) Titanium Level Power Supplies
  • NVIDIA Certified System. Supports NVIDIA HGX™ H200 8-GPU
  • Success Story: Building Massive AI Cloud Scalable Infrastructure for Advanced AI Training

* Estimated lead time is currently 8-10 weeks. Actual delivery schedule will depend on quantity and availability.

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SYS-821GE-TNHR

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SYS-821GE-TNHR Top

Supermicro SYS-821GE-TNHR: The Ultimate AI & HPC Powerhouse

Supermicro's SYS-821GE-TNHR is an 8U GPU server for AI/HPC. Featuring dual Intel Xeon Scalable processors, NVIDIA HGX H200 support, and extensive PCIe 5.0 expansion, it delivers extreme performance for data-intensive workloads.

Extreme Performance for AI and Deep Learning

The Supermicro SYS-821GE-TNHR is a flagship 8U GPU SuperServer, meticulously engineered to accelerate the most demanding AI/Deep Learning training and High-Performance Computing (HPC) applications. Optimized with support for NVIDIA HGX™ H200 8-GPU and powered by dual 5th/4th Gen Intel® Xeon® Scalable processors, this server is the ultimate solution for complex tasks like Conversational AI, Drug Discovery, and Climate Modeling.

Superior Expandability and High-Speed Connectivity

This system offers maximum performance and flexibility with a total of up to 8 PCIe 5.0 x16 and 2 PCIe 5.0 x16 FHHL slots, supporting up to eight double-wide, full-length GPUs. Memory capacity is substantial, with 32 DIMM slots supporting up to 8TB of DDR5-5600MT/s memory. This ensures immense bandwidth for large datasets and complex workloads. Onboard networking options provide seamless connectivity for a variety of applications.

SYS-821GE-TNHR Rear

Extensive Storage for Data-Intensive Workloads

The SYS-821GE-TNHR is built to handle massive data with a total of up to 16 hot-swap 2.5" NVMe drive bays and 3 hot-swap 2.5" SATA bays, providing superior storage capabilities for intensive data processing. This flexible storage array ensures that your data-intensive applications, from Business Intelligence & Analytics to Finance & Economics, can execute with incredible speed and efficiency.

Unwavering Reliability and Optimal Efficiency

Reliability is paramount for mission-critical applications. The SYS-821GE-TNHR is powered by six 3000W redundant Titanium Level power supplies, ensuring continuous operation and exceptional energy efficiency. This robust design, combined with 10 heavy-duty fans with optimal speed control, makes it one of the most dependable and efficient GPU servers available today, reducing downtime and lowering your total cost of ownership.

Key Features

  • Supports NVIDIA HGX™ H200 8-GPU
  • Dual Intel® Xeon® Scalable processors
  • Up to 8TB DDR5-5600MT/s memory
  • Up to 8 PCIe 5.0 x16 slots
  • Up to 16 hot-swap 2.5" NVMe bays
  • Redundant 3000W Titanium Level power supplies
More Information
System Starting Price€248,331.34
CPU4th Gen Intel® Xeon® Scalable, 5th Gen Intel® Xeon® Scalable
Specification
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Supermicro SYS-821GE-TNHR 8x NVIDIA H200 GPU Air Cooled AI Server

Patrick Kennedy, ServeTheHome | January 24, 2025

Summarize what the experts said about our product: The SYS-821GE-TNHR is a highly refined and successful platform for NVIDIA HGX H200. Its superior design allows core components to be serviced without pulling the chassis, which is essential for maintaining uptime in critical AI environments. Having been the industry's standard for a reason, this server shows significant refinement over previous generations of 8-GPU systems.

Read this review