Supermicro 2U 4-GPU Universal GPU Server SYS-221GE-TNHR

The Supermicro SYS-221GE-TNHR is a 2U Universal GPU Server engineered to support up to four double-wide GPU accelerators in a dense, high-performance chassis. Built on the Intel Xeon Scalable (Sapphire Rapids) platform with dual processor sockets, the system delivers the PCIe 5.0 bandwidth and NVLink-ready infrastructure required for the most demanding AI training, inferencing, and HPC workloads. The server accommodates industry-leading GPUs including NVIDIA H100, A100, and L40S form factors, making it a flexible foundation for enterprise AI infrastructure that must evolve with accelerator generations.

The SYS-221GE-TNHR integrates a high-capacity DDR5 memory subsystem with 32 DIMM slots supporting up to 8TB of registered ECC memory, ensuring that data-intensive workloads such as large language model training and real-time analytics are not memory-constrained. The chassis incorporates Supermicro's advanced thermal design with high-airflow hot-swap fans and GPU-optimized airflow pathways, sustaining full GPU TDP under continuous datacenter operating conditions. Storage flexibility is addressed through multiple NVMe M.2 and U.2 bays alongside SATA support, accommodating fast local scratch storage for GPU workloads.

Network connectivity is anchored by dual 10GbE NBASE-T ports for management and production traffic, complemented by MCIO and OCP 3.0 mezzanine expansion slots that enable high-bandwidth interconnects such as InfiniBand HDR/NDR or 100/200/400GbE for GPU cluster fabric integration. The system ships with an IPMI-based Baseboard Management Controller supporting Redfish and SMASH CLP for out-of-band management, fitting seamlessly into enterprise orchestration environments including Kubernetes with GPU operator support, VMware vSphere, and bare-metal AI platform deployments across datacenter and colocation facilities.

Ideal for

• Large language model (LLM) training and fine-tuning requiring multi-GPU parallelism across H100 or A100 accelerators
• Enterprise AI inferencing at scale for computer vision, NLP, and recommendation engine workloads
• High-performance computing (HPC) simulations in life sciences, computational fluid dynamics, and financial risk modeling
• GPU-accelerated data analytics and ETL pipelines processing large datasets in real time
• Multi-tenant GPU cloud infrastructure for private cloud and managed AI-as-a-service environments
• Rendering, virtual production, and media processing workloads requiring sustained multi-GPU throughput in broadcast and post-production facilities

Technical specifications

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