Supermicro SuperServer SYS-421GH-TNGR2 4U HGX H100

The Supermicro SuperServer SYS-421GH-TNGR2 is a 4U rackmount server engineered around the NVIDIA HGX H100 baseboard, integrating eight NVIDIA H100 SXM5 GPUs interconnected via NVLink and NVSwitch fabric to deliver a unified, high-bandwidth GPU compute domain. Built on NVIDIA's Hopper architecture, each H100 SXM5 GPU provides 80 GB of HBM3 memory and up to 3.35 TB/s of memory bandwidth, with the full eight-GPU configuration presenting 640 GB of aggregate GPU memory to the workload. The system is designed from the ground up for large-scale generative AI training, deep learning inference at scale, and HPC simulation workloads that demand tightly coupled GPU-to-GPU communication with minimal latency.

The SYS-421GH-TNGR2 is based on the Supermicro X13 platform and supports dual 4th Gen Intel Xeon Scalable processors (Sapphire Rapids) connected via UPI, with support for up to 8 TB of DDR5 ECC RDIMM system memory across 32 DIMM slots. High-speed fabric connectivity is provided through multiple PCIe Gen 5 slots and integrated support for NVIDIA ConnectX-7 or BlueField-3 based network adapters, enabling HDR/NDR InfiniBand or 400GbE networking to sustain inter-node communication at the bandwidth levels required by distributed AI training clusters. The chassis incorporates a high-efficiency redundant power subsystem with multiple 3000W or higher platinum-rated PSUs to support the full thermal design power envelope of the HGX H100 baseboard.

Designed for deployment in enterprise data centers, hyperscale AI infrastructure, and national research computing facilities, the SYS-421GH-TNGR2 supports standard 19-inch rack form factor at 4U height and is compatible with Supermicro's broader ecosystem of management, cooling, and rack integration solutions. IPMI 2.0-compliant out-of-band management via Supermicro's IPMI and BMC implementation provides full remote monitoring and control capabilities suited to large-scale fleet operations. The platform is available through Omnixon Global for enterprise buyers across the UAE, GCC, EMEA, and APAC regions.

Ideal for

• Large-scale generative AI model training (LLM, diffusion, multimodal) requiring tightly coupled multi-GPU compute with high NVLink bandwidth
• High-throughput AI inference serving for transformer-based models deployed at enterprise or hyperscale production scale
• Scientific and engineering HPC simulation workloads including computational fluid dynamics, molecular dynamics, and climate modeling
• Multi-tenant GPU cloud infrastructure requiring high aggregate GPU memory capacity and hardware isolation capabilities
• Data center AI supercomputing cluster nodes interconnected via InfiniBand or high-speed Ethernet fabrics for distributed training
• Financial services risk modeling and quantitative analytics requiring massive parallel floating-point compute throughput

Technical specifications

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