ASUS RS720A-E11-RS24U EPYC GPU Server (Radeon Pro W6800 32GB Config)

The ASUS RS720A-E11-RS24U is a 2U rack server engineered around AMD EPYC third-generation (Milan) processors, delivering exceptional compute density for demanding enterprise, datacenter, and AI workloads. The platform supports dual AMD EPYC 7003 Series CPUs, offering up to 128 cores per node, and features a deep memory architecture with 32 DIMM slots supporting DDR4 registered ECC memory. Its PCIe 4.0 fabric provides the high-bandwidth interconnect required to sustain GPU-accelerated throughput without creating bottlenecks between the CPUs and attached accelerators.

In this Radeon Pro W6800 32GB configuration, the server is equipped with the AMD Radeon Pro W6800 GPU, which carries 32GB of GDDR6 ECC memory and is built on the AMD RDNA 2 architecture. The Radeon Pro W6800 delivers professional-grade compute and visualization performance, supporting PCIe 4.0 x16 connectivity and offering hardware-accelerated ray tracing alongside robust driver-level stability suited to continuous enterprise operation. The RS720A-E11-RS24U chassis accommodates up to 24 hot-swap NVMe/SATA/SAS drive bays in a 2U form factor, pairing extreme storage density with GPU compute in a space-efficient footprint.

Targeted at AI inferencing, scientific computing, media rendering pipelines, and GPU-accelerated data analytics, the RS720A-E11-RS24U combines ASUS ASMB10-iKVM out-of-band management, redundant 2+1 or higher power supply configurations, and comprehensive IPMI 2.0 / Redfish API support. This makes it suitable for deployment in managed enterprise datacenters across the UAE, GCC, EMEA, and APAC regions where remote lifecycle management, high availability, and thermal efficiency under sustained load are operational requirements.

Ideal for

• GPU-accelerated AI inferencing and machine learning model serving in enterprise datacenter environments
• Professional 3D rendering, visualization, and GPU compute pipelines for media, engineering, and design workloads
• High-performance data analytics leveraging AMD EPYC many-core compute paired with RDNA 2 GPU acceleration
• Scientific simulation and computational research requiring large memory capacity, ECC reliability, and sustained throughput
• Virtual desktop infrastructure (VDI) and GPU-shared remote workstation deployments demanding professional-grade GPU drivers and ECC VRAM
• Dense storage and compute convergence scenarios where 24-bay NVMe/SAS capacity and GPU processing must coexist in a 2U rack footprint

Technical specifications

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