Supermicro GPU Server SYS-220HE-FTNR (2x GPU 2U HGX H100)

The Supermicro SYS-220HE-FTNR is a 2U dual-socket GPU server engineered around the NVIDIA HGX H100 platform, integrating two HGX H100 80GB SXM5 modules interconnected via NVLink for high-bandwidth GPU-to-GPU communication. Built on the Intel Xeon Scalable (4th Gen Sapphire Rapids) processor architecture, the system delivers exceptional AI training and inference throughput within a dense, rack-optimized 2U form factor. The HGX H100 modules leverage NVIDIA's Hopper GPU architecture, providing Transformer Engine acceleration, FP8 precision support, and NVLink bandwidth that sustains the data movement demands of large-scale deep learning workloads.

The SYS-220HE-FTNR supports dual Intel Xeon Scalable processors and offers extensive DDR5 memory capacity across multiple DIMM slots, enabling CPU-side data preprocessing to keep GPU compute fully saturated. High-speed PCIe 5.0 interconnects and multi-port 400GbE or HDR InfiniBand networking options allow the server to operate as a high-performance node within GPU clusters. The chassis incorporates Supermicro's redundant hot-swap power supplies and high-efficiency cooling infrastructure, meeting enterprise datacenter requirements for continuous, uninterrupted operation.

Designed for enterprise datacenters, HPC facilities, and AI infrastructure deployments across UAE, GCC, EMEA, and APAC regions, the SYS-220HE-FTNR is positioned as a foundation node for AI model training, large language model (LLM) fine-tuning, scientific simulation, and real-time inference serving. Supermicro's server management ecosystem, including IPMI and Redfish-compatible BMC, provides out-of-band monitoring and lifecycle management integration with standard enterprise IT toolchains.

Ideal for

• Large language model (LLM) pre-training and fine-tuning requiring high-bandwidth GPU interconnect and FP8/BF16 Transformer Engine acceleration
• Enterprise AI inference serving for latency-sensitive generative AI applications at scale within datacenter GPU clusters
• High-performance computing (HPC) workloads including computational fluid dynamics, molecular dynamics, and climate modeling that benefit from NVLink-connected GPU pairs
• Computer vision and multimodal AI model training across medical imaging, autonomous systems, and industrial inspection domains
• Financial services quantitative modeling, risk simulation, and Monte Carlo analysis leveraging parallel GPU compute
• Sovereign AI infrastructure deployments in EMEA and APAC requiring on-premises GPU compute for data-residency-compliant model development

Technical specifications

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