Supermicro SuperServer SYS-421GU-TNXR 4U GPU Server (Redundant PSU variant)

The Supermicro SuperServer SYS-421GU-TNXR is a 4U rackmount GPU server engineered for demanding enterprise AI, high-performance computing, and data-intensive workloads. Built on the AMD EPYC 9004 series (Genoa) processor platform, the system supports dual-socket configurations with up to 192 cores total, providing exceptional parallel processing headroom for large-scale inference, training pipelines, and scientific simulation. The server accommodates up to 10 double-width GPUs (PCIe Gen 5), enabling massive GPU-dense deployments within a single chassis footprint—a critical consideration for organizations optimizing rack density in modern AI-oriented datacenters.

The SYS-421GU-TNXR is equipped with support for DDR5 memory across 24 DIMM slots, delivering high-bandwidth memory capacity suited to large model training and in-memory analytics. The system integrates PCIe 5.0 connectivity throughout, ensuring that attached accelerators and NVMe storage devices operate without bandwidth bottlenecks. Networking is addressed via dual 10GbE BASE-T management and high-speed fabric interconnect options, while the TNXR suffix designates the redundant power supply unit configuration—a design choice that aligns with enterprise uptime and fault-tolerance requirements by eliminating the PSU as a single point of failure.

Designed for deployment in UAE, GCC, EMEA, and APAC enterprise environments, the SYS-421GU-TNXR supports Supermicro's IPMI 2.0-based out-of-band management via a dedicated BMC, enabling remote monitoring, power control, and lifecycle management without requiring physical datacenter access. The chassis incorporates high-airflow hot-swap cooling and tool-less drive bays, reducing operational overhead during maintenance windows. With its combination of AMD EPYC compute, PCIe 5.0 GPU scalability, DDR5 memory subsystem, and redundant power architecture, the SYS-421GU-TNXR represents a converged platform for organizations that require production-grade reliability alongside frontier AI and HPC throughput.

Ideal for

• Large-scale generative AI model training utilizing multiple high-end datacenter GPUs within a single 4U chassis
• Enterprise AI inference serving for natural language processing, computer vision, and recommendation systems at scale
• High-performance computing (HPC) workloads including computational fluid dynamics, molecular dynamics, and finite element analysis
• Deep learning research and development environments requiring dense GPU parallelism and fast PCIe 5.0 interconnect bandwidth
• GPU-accelerated data analytics and in-memory processing pipelines leveraging high-capacity DDR5 memory subsystems
• Rendering farms and visualization workloads in media, engineering simulation, and digital twin applications requiring sustained multi-GPU throughput

Technical specifications

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