ASUS RS700Q-E11-RS4U Compact GPU Server (RTX 4000 Ada 20GB Config)

The ASUS RS700Q-E11-RS4U is a 1U compact GPU server engineered for high-density enterprise AI, machine learning, and professional visualization deployments. Built on the AMD EPYC 9004 series (Genoa) platform, it supports dual AMD EPYC processors and is configured here with an NVIDIA RTX 4000 Ada Generation GPU featuring 20GB of GDDR6 ECC memory. The chassis integrates ASUS server-grade reliability with a compact 1U form factor, making it suitable for space-constrained datacenter environments that demand GPU-accelerated compute without sacrificing thermal or power management.

The RTX 4000 Ada Generation GPU at the heart of this configuration is based on NVIDIA's Ada Lovelace architecture, delivering third-generation RT Cores, fourth-generation Tensor Cores, and NVIDIA Shader Execution Reordering (SER). With 6,144 CUDA cores and a 160-bit GDDR6 memory interface, the card supports professional workloads including AI inferencing, 3D rendering, simulation, and virtual workstation delivery via NVIDIA RTX Virtual Workstation (vWS) software. The RS700Q-E11-RS4U accommodates multiple GPU configurations, and the RTX 4000 Ada's 130W TDP aligns well with the server's thermal envelope.

Designed for enterprise IT and datacenter operators across the UAE, GCC, EMEA, and APAC regions, this system is available through Omnixon Global. The server supports DDR5 registered ECC memory, PCIe 5.0 connectivity, and high-speed NVMe storage through its U.2 backplane options. Dual 10GbE onboard networking and ASUS ASMB11-iKVM remote management provide the connectivity and out-of-band management capabilities required in production enterprise environments.

Ideal for

• AI inference serving and edge AI model deployment in space-constrained 1U datacenter racks
• Professional 3D visualization and GPU-accelerated rendering for media, AEC, and engineering teams
• Virtual workstation hosting via NVIDIA RTX Virtual Workstation (vWS) for remote professional users
• Machine learning training acceleration for small-to-mid-scale models in enterprise AI pipelines
• High-performance computing (HPC) tasks requiring GPU parallelism alongside dual EPYC CPU compute
• Scientific simulation and data analytics workloads in research, finance, and energy sector datacenters

Technical specifications

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