ASUS RS500A-E11-RS4U AMD GPU Server

ASUS RS500A-E11-RS4U AMD GPU Server

Brand: ASUS | Category: GPUs

SKU: RS500A-E11-RS4U | Part #: RS500A-E11-RS4U | MPN: RS500A-E11-RS4U

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About the ASUS RS500A-E11-RS4U AMD GPU Server

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.

Ideal for

  • AI inference acceleration for enterprise machine learning model deployment at scale
  • High-performance computing (HPC) workloads including scientific simulation and numerical analysis
  • Data analytics pipeline processing requiring parallel CPU and GPU compute resources
  • 3D rendering and visual computing for media, architecture, and engineering sectors
  • Edge datacenter and regional colocation deployments demanding 1U density efficiency
  • Cloud-native virtualized GPU workloads supporting multi-tenant enterprise environments

Technical specifications

ManufacturerASUS
Manufacturer Part NumberRS500A-E11-RS4U
Form Factor1U Rackmount
CPU SupportAMD EPYC 7003 Series (Milan)
Number of CPU Sockets1
ChipsetAMD SoC integrated (EPYC 7003 platform)
Memory Slots16 x DDR4 DIMM slots
Memory TypeDDR4 ECC Registered (RDIMM / LRDIMM)
Max Memory Capacity2TB
Storage Bays4 x 3.5-inch hot-swap drive bays
Storage InterfaceSATA / NVMe support
GPU SupportSupports discrete GPU cards (PCIe expansion)
PCIe SlotsPCIe 4.0 expansion slots
NetworkDual embedded Gigabit LAN ports
ManagementASUS ASMB10-iKVM out-of-band management controller (IPMI 2.0)
Power SupplyRedundant 800W 80 PLUS Platinum
Operating System SupportWindows Server, Linux (major enterprise distributions)
Dimensions1U rackmount chassis
Target WorkloadsAI, HPC, Data Analytics, GPU-accelerated computing

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

Technical Specifications

BrandASUS
CategoryGPUs
SKURS500A-E11-RS4U
Part NumberRS500A-E11-RS4U
ConditionNew
Manufacturer Part NumberRS500A-E11-RS4U
Form Factor1U Rackmount
CPU SupportAMD EPYC 7003 Series (Milan)
Number of CPU Sockets1
ChipsetAMD SoC integrated (EPYC 7003 platform)
Memory Slots16 x DDR4 DIMM slots
Memory TypeDDR4 ECC Registered (RDIMM / LRDIMM)
Max Memory Capacity2TB
Storage Bays4 x 3.5-inch hot-swap drive bays
Storage InterfaceSATA / NVMe support
GPU SupportSupports discrete GPU cards (PCIe expansion)
PCIe SlotsPCIe 4.0 expansion slots
NetworkDual embedded Gigabit LAN ports
ManagementASUS ASMB10-iKVM out-of-band management controller (IPMI 2.0)
Power SupplyRedundant 800W 80 PLUS Platinum
Operating System SupportWindows Server, Linux (major enterprise distributions)
Dimensions1U rackmount chassis
Target WorkloadsAI, HPC, Data Analytics, GPU-accelerated computing

Frequently Asked Questions about ASUS RS500A-E11-RS4U AMD GPU Server

What server platforms accept the ASUS RS500A-E11-RS4U AMD GPU Server?

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.

How long is the lead time on AI GPUs?

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.

Do you supply matched networking (Quantum InfiniBand / Spectrum-X)?

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.

Can you help with NVIDIA AI Enterprise licensing?

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.