Supermicro SuperServer SYS-820GV-TNR — 8x NVIDIA H200 SXM5 141GB HGX System

The Supermicro SuperServer SYS-820GV-TNR is an 8-GPU HGX H200 SXM5 server platform engineered for the most demanding large-scale AI training, inference, and high-performance computing workloads. Built around NVIDIA's HGX H200 SXM5 compute board, the system integrates eight NVIDIA H200 SXM5 GPUs each carrying 141 GB of HBM3e memory, yielding 1,128 GB of aggregate GPU memory per node. Inter-GPU communication is handled by fifth-generation NVLink and NVSwitch fabric, delivering up to 900 GB/s bidirectional bandwidth per GPU — enabling tight coupling of all eight accelerators as a unified compute pool rather than eight discrete devices.

The SYS-820GV-TNR is built on a multi-socket Intel Xeon Scalable (Sapphire Rapids) server foundation and supports high-bandwidth PCIe Gen 5 connectivity to host CPUs, along with multiple OSFP ports for high-speed InfiniBand or Ethernet network fabric attachment suited to multi-node GPU cluster deployments. The chassis accommodates high-density NVMe storage, redundant platinum-level power supplies, and Supermicro's advanced thermal management with rear-to-front or front-to-rear airflow configurations optimized for dense GPU thermal envelopes at rack scale.

Positioned at the apex of Supermicro's AI GPU server portfolio, the SYS-820GV-TNR targets enterprise datacenter operators, cloud service providers, national research laboratories, and large-scale AI development organizations requiring maximum per-node FP8, FP16, BF16, and TF32 throughput for foundation model training, LLM inference serving, scientific simulation, and real-time analytics pipelines. The platform is validated for deployment in high-density GPU racks and is designed to integrate into modern AI factory architectures with direct liquid cooling (DLC) options available for thermal management at scale.

Ideal for

• Large-scale foundation model and large language model (LLM) training requiring maximum aggregate GPU memory and ultra-high inter-GPU bandwidth across a single node
• High-throughput LLM inference serving for enterprise AI applications where model weights exceed the capacity of smaller GPU configurations
• Multi-physics and molecular dynamics scientific simulation leveraging FP64 and mixed-precision HPC compute across eight tightly coupled H200 accelerators
• Generative AI and multimodal model development (text, image, video) demanding sustained BF16 and FP8 tensor throughput at rack scale
• AI-accelerated drug discovery, genomics, and life sciences workloads requiring both large memory footprint and high memory bandwidth per node
• Enterprise AI infrastructure consolidation where a single SYS-820GV-TNR node replaces multiple smaller GPU servers to reduce rack footprint, networking complexity, and operational overhead

Technical specifications

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.