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Supermicro AI Server NVIDIA HOPPER

Supermicro SYS-821GE-TNHR AI Server

8U · 8x NVIDIA H200 · InfiniBand

Supermicro SYS-821GE-TNHR AI Server with NVIDIA HGX H200 platform for model training and inference. Eight H200 SXM5 GPUs with 141 GB of HBM3e each: more memory per GPU than the H100, so large models run without being split across nodes. Two Intel Xeon 8558 processors, 2 TB of DDR5-5600 and eight InfiniBand adapters for joining nodes into a cluster.

Ideal For LLM Training & Inference

Key Specifications

01

8x NVIDIA H200 SXM5, 141 GB HBM3e each

02

2x Intel Xeon 8558

03

2 TB DDR5-5600 (32x 64 GB)

04

8x InfiniBand · 2x 960 GB + 2x 3.84 TB SSD

Flagship 8U AI Server Supermicro SYS-821GE-TNHR on NVIDIA HGX Hopper Platform

Supermicro SYS-821GE-TNHR is a flagship dual-socket 8U AI server from the Supermicro X13 series, built on the previous generation GPU architecture — NVIDIA Hopper. The system is the primary “workhorse” for deep learning training, demanding HPC computations, and LLM inference in large enterprise and research data centers. The server is divided into two isolated modules within a single chassis: the lower unit is a standard x86 server, while the upper unit is fully dedicated to the massive AI accelerator board and NVSwitch fabric.

This dual-module architecture simplifies maintenance and component replacement: the compute node and GPU tray are physically separated, reducing the risk of damaging expensive accelerators during scheduled service and improving platform serviceability under dense data center loads.

Use Cases

The Supermicro SYS-821GE-TNHR is the optimal solution for organizations requiring:

  • Deep learning training of neural networks
  • LLM inference in large enterprise and research data centers
  • Demanding HPC computations and scientific simulation
  • Working with large LLM models without quantization (e.g., Qwen 3.5 397B)
  • Building GPU clusters and AI factories with GPUDirect RDMA
  • Real-time computer vision and video analytics workloads

GPU Architecture and Inter-Chip Interconnect

The graphics subsystem is based on a pre-installed NVIDIA HGX baseboard combining 8 SXM5-slot GPUs. Depending on the factory part number, two accelerator variants are supplied:

  • With NVIDIA H100 (SXM5) chips. Delivers a total of 640 GB of HBM3 video memory (80 GB per GPU) with memory bandwidth up to 3.35 TB/s per chip.
  • With NVIDIA H200 (SXM5) chips. The top-tier variant provides 1.12 TB (1128 GB) of ultra-fast HBM3e VRAM (141 GB per accelerator) with increased up to 4.8 TB/s transfer speed. This capacity allows retaining large LLM models in node memory without quantization (e.g., Qwen 3.5 397B).

GPU-to-GPU communication is carried over the NVIDIA NVLink bus at speeds up to 900 GB/s per accelerator through NVSwitch fabric, eliminating latency in parallel distributed training.

Compute Platform Technical Specifications

  • Processors. Support for two 4th Gen Intel Xeon Scalable (Sapphire Rapids) or 5th Gen (Emerald Rapids) processors in LGA-4677 (Socket E). Cooling is designed for CPUs with TDP up to 350 W and up to 64 cores per socket (up to 128 cores per server).
  • Memory. 32 DIMM slots for ECC DDR5 RDIMM server memory. Scaling up to 4 TB RAM at maximum 5600 MT/s (1DPC mode) or up to 8 TB at reduced 4400 MT/s (2DPC configuration) is supported.
  • Storage subsystem. The chassis front backplane (CSE-GP801TS) by default holds 15 × 2.5″ hot-swap drives (12 × NVMe and 3 × SATA). Optionally, the bay expands to 19 or 24 slots. On the motherboard (Super X13DEG-OAD) there are 2 × M.2 NVMe slots for mirrored OS drives.
  • I/O and networking. The base configuration includes 2 × 10GbE RJ45 ports. The expansion card architecture includes 10 × PCIe 5.0 x16 slots (8 low-profile LP and 2 full-height FHHL). The design is optimized for installing 8 high-speed network cards (e.g., Mellanox ConnectX-7 400G), enabling GPUDirect RDMA — each of the 8 GPUs gets its own direct network uplink into the switching fabric without involving CPU resources.

Power and Cooling

  • Power. High component power consumption (up to 700 W per GPU) is compensated by a powerful power subsystem. The chassis is equipped with 6 redundant power supplies at 3000 W each (hot-standby 4+2 scheme) with 80 PLUS Titanium rating. Optionally, up to 8 power supplies (4+4 scheme) are available.
  • Cooling. Air-based, front-to-back. Provided by an array of 10 heavy-duty 80 mm fans with automatic speed control.
  • Physical dimensions. Chassis dimensions are 437 × 355.6 × 843.28 mm. When planning rack placement, the large chassis depth and bare platform weight from 75.3 kg (without drives and expansion cards) must be strictly considered.

⚠️ Supply conditions. As with the following generations of platforms, according to Supermicro regulations, the SYS-821GE-TNHR model is shipped to end customers exclusively as a fully assembled and tested kit (Complete System). The minimum starting specification requires 2 processors, at least 2 TB of RAM, an HGX board, and a basic network card.

Why GHI SERVERS

  • Direct supply from China. We work with CNY and RUB. Turnkey logistics of server equipment from China, including customs clearance and delivery to our Moscow warehouse.
  • Custom configuration. We help select the GPU configuration (NVIDIA H100 or H200 SXM5), Intel Xeon Scalable processors, memory capacity (DDR5 RDIMM, 1DPC or 2DPC), Mellanox ConnectX-7 400G network cards, and power supplies for your task and budget.
  • Moscow warehouse. Prompt replacement of defective units and warranty service without long downtime.
  • 20+ years of expertise. Authorized Supermicro partner since 2005. Pre-sales engineering, configuration assistance, and post-sales support.

Service and Support

  • 24/7 technical support
  • Pre-sales engineering and configuration assistance
  • OEM warranty and full provenance documentation
  • Installation, setup, and deployment of server equipment
  • Component replacement and warranty service

Interested in Supermicro SYS-821GE-TNHR AI Server?

Our certified engineers will configure the right solution for your workloads and budget.