Brand: ASUS | Category: GPUs
SKU: RS500A-E11-RS4U | Part #: RS500A-E11-RS4U | MPN: RS500A-E11-RS4U
Contact for Pricing — Request a Quote
The ASUS RS500A-E11-RS4U is a 1U rackmount server built on the AMD EPYC processor platform, engineered to deliver high-density compute and GPU acceleration within a compact form factor suited to modern datacenter and AI infrastructure deployments. The system supports AMD EPYC 7003 series (Milan) processors and integrates dedicated GPU expansion capabilities, making it well-positioned for inference, HPC, and data-intensive enterprise workloads that demand both CPU and GPU parallelism in a space-efficient chassis.
Designed with enterprise scalability in mind, the RS500A-E11-RS4U accommodates substantial system memory capacity across multiple DIMM slots supporting DDR4 registered ECC memory, providing the reliability and error-correction essential for continuous mission-critical operations. The server's storage subsystem includes multiple drive bays with support for NVMe and SATA configurations, enabling high-throughput data pipelines necessary for AI training preparation, analytics, and storage-intensive applications.
The platform is optimized for deployment across datacenter environments in AI inferencing, machine learning acceleration, rendering, and scientific simulation use cases. With enterprise-grade management features including ASUS ASMB management controller for out-of-band administration, redundant power supply support, and a validated server-grade component stack, the RS500A-E11-RS4U represents a purpose-built solution for organizations across UAE, GCC, EMEA, and APAC regions seeking dependable GPU-accelerated server infrastructure.
| Manufacturer | ASUS |
| Manufacturer Part Number | RS500A-E11-RS4U |
| Form Factor | 1U Rackmount |
| CPU Support | AMD EPYC 7003 Series (Milan) |
| Number of CPU Sockets | 1 |
| Chipset | AMD SoC integrated (EPYC 7003 platform) |
| Memory Slots | 16 x DDR4 DIMM slots |
| Memory Type | DDR4 ECC Registered (RDIMM / LRDIMM) |
| Max Memory Capacity | 2TB |
| Storage Bays | 4 x 3.5-inch hot-swap drive bays |
| Storage Interface | SATA / NVMe support |
| GPU Support | Supports discrete GPU cards (PCIe expansion) |
| PCIe Slots | PCIe 4.0 expansion slots |
| Network | Dual embedded Gigabit LAN ports |
| Management | ASUS ASMB10-iKVM out-of-band management controller (IPMI 2.0) |
| Power Supply | Redundant 800W 80 PLUS Platinum |
| Operating System Support | Windows Server, Linux (major enterprise distributions) |
| Dimensions | 1U rackmount chassis |
| Target Workloads | AI, HPC, Data Analytics, GPU-accelerated computing |
Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.
| Brand | ASUS |
| Category | GPUs |
| SKU | RS500A-E11-RS4U |
| Part Number | RS500A-E11-RS4U |
| Condition | New |
| Manufacturer Part Number | RS500A-E11-RS4U |
| Form Factor | 1U Rackmount |
| CPU Support | AMD EPYC 7003 Series (Milan) |
| Number of CPU Sockets | 1 |
| Chipset | AMD SoC integrated (EPYC 7003 platform) |
| Memory Slots | 16 x DDR4 DIMM slots |
| Memory Type | DDR4 ECC Registered (RDIMM / LRDIMM) |
| Max Memory Capacity | 2TB |
| Storage Bays | 4 x 3.5-inch hot-swap drive bays |
| Storage Interface | SATA / NVMe support |
| GPU Support | Supports discrete GPU cards (PCIe expansion) |
| PCIe Slots | PCIe 4.0 expansion slots |
| Network | Dual embedded Gigabit LAN ports |
| Management | ASUS ASMB10-iKVM out-of-band management controller (IPMI 2.0) |
| Power Supply | Redundant 800W 80 PLUS Platinum |
| Operating System Support | Windows Server, Linux (major enterprise distributions) |
| Dimensions | 1U rackmount chassis |
| Target Workloads | AI, HPC, Data Analytics, GPU-accelerated computing |
Reference servers include Dell PowerEdge XE9680 / XE9712, HPE Cray XD670, Lenovo ThinkSystem SR685a / SR675 V3, Supermicro AS-A21GE / SYS-821GE, Gigabyte G593 / G894, ASUS ESC. Share your target platform in the RFQ and we will confirm chassis-to-GPU compatibility and recommended NIC pairing.
Highly model-dependent. L40S / RTX-class: typically 3-6 weeks. H100/H200/B200 in SXM form factor: 12-16 weeks for whole-platform allocations. We quote genuine-channel ETAs only — no grey-market promises.
Yes — Omnixon stocks the full NVIDIA networking lineup (Quantum-2 / Quantum-X InfiniBand, Spectrum-X Ethernet, ConnectX NICs, BlueField DPUs) so we can quote a complete training-cluster BOM, not just the GPUs.
Yes. We hold genuine-channels for NVIDIA AI Enterprise software subscriptions. Add it to your RFQ and we quote node-aligned licensing along with the hardware.