ASUS RS500A-E12-PS4U 1U Single-Socket EPYC GPU Server

The ASUS RS500A-E12-PS4U is a 1U rack-mounted server built around a single AMD EPYC 9004 series (Genoa) processor socket, engineered to deliver high-density compute and GPU acceleration within a compact footprint. Supporting PCIe 5.0 connectivity and DDR5 memory across 12 DIMM slots, the platform is architected for memory-bandwidth-intensive and compute-intensive workloads that demand both CPU and GPU collaboration in a space-constrained rack environment. The system accommodates up to four single-slot or two double-slot GPU or accelerator cards, making it suitable for inference deployment, edge AI, and HPC tasks where rack density is a priority.

The RS500A-E12-PS4U features ASUS ASMB11-iKVM out-of-band management, enabling full remote server administration including BIOS control, power management, and KVM-over-IP without requiring a local operator. Storage flexibility is provided through multiple U.2 and M.2 NVMe drive bays, supporting high-throughput data pipelines required in AI training preparation and real-time analytics. Dual redundant power supply units ensure continuous availability in production datacenter environments, while the 1U chassis design with optimized airflow channels accommodates the thermal demands of sustained GPU and CPU operation.

Targeted at enterprise datacenters, colocation facilities, and cloud service operators across UAE, GCC, EMEA, and APAC regions, the RS500A-E12-PS4U occupies a compelling position for organizations seeking to deploy GPU-accelerated workloads — including AI inference, video analytics, and scientific computing — without sacrificing rack space efficiency. ASUS enterprise-grade build quality and compatibility with standard 19-inch rack infrastructure make this server a practical choice for large-scale, high-availability deployments.

Ideal for

• AI inference serving at the network edge or within high-density datacenter racks where 1U form factor is required
• Real-time video analytics and computer vision processing leveraging GPU acceleration alongside high-core-count EPYC CPU resources
• High-performance computing (HPC) workloads including scientific simulation and numerical modelling requiring PCIe 5.0 GPU bandwidth
• Enterprise virtual desktop infrastructure (VDI) with GPU passthrough for graphics-intensive remote workstation sessions
• Data preprocessing and feature engineering pipelines for large-scale machine learning workflows in colocation and cloud environments
• Telecommunications and 5G network function acceleration requiring low-latency, GPU-assisted packet processing in space-constrained deployments

Technical specifications

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