ASUS RS700-E11-RS4U Intel 4-Bay GPU Server

The ASUS RS700-E11-RS4U is a 1U rack-mount server built on the Intel Xeon Scalable (4th Gen, codenamed Sapphire Rapids) platform, designed to deliver high-density compute and GPU acceleration in a compact 1U form factor. Supporting dual Intel Xeon Scalable processors and up to 4TB of DDR5 ECC RDIMM/LRDIMM memory across 32 DIMM slots, the RS700-E11-RS4U provides the memory bandwidth and CPU throughput required for demanding AI inference, data analytics, and enterprise HPC workloads. The system accommodates up to four single-slot or two double-slot GPU or accelerator cards, enabling parallel processing tasks without the physical footprint of larger chassis.

The RS700-E11-RS4U incorporates ASUS ASMB11-iKVM out-of-band management for remote server administration, supporting IPMI 2.0 and Redfish API standards that align with modern datacenter automation and orchestration frameworks. Storage flexibility is addressed through support for NVMe and SATA/SAS drives, complemented by PCIe 5.0 expansion slots that enable high-throughput interconnects between compute and storage tiers. Dual redundant 1+1 power supply units ensure continuous operation for mission-critical environments across enterprise datacenters.

Engineered for deployment across AI inference clusters, edge AI nodes, and enterprise HPC racks, the RS700-E11-RS4U is validated for hyperscale and regional datacenter environments including those operated across the UAE, GCC, EMEA, and APAC regions. Its ASUS AICS (AI Computing Solutions) lineage ensures firmware-level optimizations for accelerated workloads, and the system supports comprehensive monitoring integration via ASUS Control Center, enabling centralized fleet management at scale.

Ideal for

• AI inference serving with multiple GPU accelerators in space-constrained 1U rack deployments
• Enterprise high-performance computing (HPC) workloads requiring dual Xeon Scalable CPU processing and large DDR5 memory footprints
• Edge AI datacenter nodes where rack density and thermal efficiency are critical operational requirements
• Data analytics pipelines leveraging GPU acceleration alongside PCIe 5.0 high-bandwidth storage interconnects
• Virtualized enterprise infrastructure hosting multiple GPU-passthrough workloads across private cloud environments
• Scientific computing and simulation workloads that require simultaneous CPU and GPU parallel processing within a 1U chassis

Technical specifications

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