Supermicro 2U 4-GPU A30 PCIe System SYS-220GP-TNR

The Supermicro SYS-220GP-TNR is a 2U rackmount GPU server engineered to support up to four NVIDIA A30 PCIe accelerators, delivering high-density parallel compute within a space-efficient chassis. Built on the Supermicro X12 platform with dual 3rd Gen Intel Xeon Scalable processors (Ice Lake-SP), the system pairs high core-count CPUs with four full-height, full-length PCIe 4.0 x16 GPU slots, enabling sustained throughput for memory-intensive AI inference, HPC simulation, and enterprise analytics workloads. The NVIDIA A30 accelerators integrated into this configuration provide 24 GB of HBM2 memory each and support multi-instance GPU (MIG) partitioning, enabling flexible workload isolation across multiple tenants or jobs.

The system features a high-bandwidth memory subsystem with 32 DDR4 DIMM slots supporting up to 4 TB of registered ECC memory at speeds up to 3200 MT/s, ensuring that CPU-side data pipelines remain unthrottled when feeding GPU compute engines. Networking is addressed through dual 10GbE BaseT ports onboard and an OCP 3.0 mezzanine slot for additional high-speed fabric connectivity, making the platform suitable for distributed training clusters and scale-out inference deployments. Redundant 2000W Titanium-level power supplies maintain operational continuity under sustained full-GPU load, while the tool-less chassis and hot-swap drive bays simplify maintenance in production datacenter environments.

Targeted at enterprise datacenters, cloud service operators, and research institutions across UAE, GCC, EMEA, and APAC regions, the SYS-220GP-TNR is offered through Omnixon Global to meet regional procurement requirements for AI infrastructure, scientific computing, and edge-to-core GPU consolidation projects. The system's IPMI 2.0-based out-of-band management via dedicated BMC, combined with Supermicro's Server Management software ecosystem, supports remote monitoring, firmware lifecycle management, and integration with existing datacenter orchestration platforms.

Ideal for

• Enterprise AI inference serving with MIG-partitioned A30 GPUs handling concurrent multi-tenant model requests across financial services, healthcare, and retail sectors
• High-performance computing (HPC) workloads including computational fluid dynamics, molecular dynamics simulation, and seismic processing requiring dense GPU parallelism in a 2U footprint
• Large-scale data analytics and in-GPU-memory processing pipelines for real-time business intelligence and fraud detection platforms
• Distributed deep learning training as a node within a multi-server GPU cluster interconnected via high-speed fabric through the OCP 3.0 networking slot
• Media and entertainment rendering and video transcoding workflows requiring sustained GPU throughput and large per-GPU memory capacity
• Government and research institution scientific simulation workloads demanding ECC-protected GPU and CPU memory with enterprise-grade remote management capabilities

Technical specifications

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