Supermicro SYS-221GE-NR 2U GPU Server with NVIDIA L40S PCIe

The Supermicro SYS-221GE-NR is a 2U rack-mounted GPU server engineered for high-density AI training, inference, and professional visualization workloads in enterprise datacenter environments. Built on a dual-socket Intel Xeon Scalable (4th Gen, Sapphire Rapids) processor platform, the system accommodates up to 10 PCIe 5.0 x16 GPU slots, enabling deployment of multiple NVIDIA L40S 48GB Ada Lovelace GPUs within a single 2U chassis. The L40S GPU delivers 91.6 TFLOPS of FP32 performance and 733 TOPS of INT8 throughput, making this configuration well-suited for large language model inference, generative AI, and real-time rendering pipelines.

The SYS-221GE-NR chassis is built around Supermicro's X13 generation server architecture, supporting up to 8TB of DDR5 ECC Registered memory across 32 DIMM slots, with high-bandwidth memory channels aligned to the demands of data-parallel GPU workloads. The system integrates NVMe U.2 storage bays, redundant 80 PLUS Titanium power supplies, and Supermicro's proprietary tool-less GPU bracket design, which simplifies field installation and maintenance in production datacenter settings. Networking is addressed via onboard 10GbE ports and PCIe expansion slots that support high-speed interconnect adapters.

Designed for scalability and manageability, the SYS-221GE-NR includes an integrated IPMI 2.0 baseboard management controller with Supermicro's IPMI-based remote management, enabling out-of-band monitoring, power control, and firmware updates without physical access. The platform supports NVIDIA's full software stack including CUDA, TensorRT, and Omniverse RTX, and is validated for enterprise AI frameworks across healthcare diagnostics, financial modeling, and cloud service provider deployments. Omnixon Global supplies this system to enterprise buyers across UAE, GCC, EMEA, and APAC regions.

Ideal for

• Large language model (LLM) inference serving with high-throughput INT8 and FP16 tensor operations across multiple L40S GPUs
• Generative AI application deployment including text-to-image, video synthesis, and multimodal model pipelines in production datacenter racks
• Medical imaging analysis and AI-assisted diagnostics requiring high VRAM capacity and FP32 precision across concurrent workloads
• Real-time 3D rendering and virtual production workflows leveraging NVIDIA Ada Lovelace RT Cores and DLSS 3 via Omniverse
• Financial services risk modeling and quantitative analytics with GPU-accelerated Monte Carlo simulations at datacenter scale
• Cloud service provider GPU-as-a-service infrastructure requiring dense, rack-optimized compute with remote out-of-band management

Technical specifications

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