ASUS ESC N4-E13 4-GPU Workstation Server

The ASUS ESC N4-E13 is a high-density 4-GPU workstation server engineered for demanding enterprise, datacenter, and AI compute environments. Built on the Intel Xeon Scalable processor platform, the ESC N4-E13 accommodates up to four double-width GPU accelerators in a tower form factor, providing the thermal headroom and PCIe bandwidth required for parallel GPU workloads including deep learning training, scientific simulation, and high-performance visualization. The system supports DDR5 ECC registered memory across multiple channels, ensuring data integrity under sustained 24/7 operational conditions.

The ESC N4-E13 is designed around a robust power delivery and cooling architecture capable of sustaining full multi-GPU TDP loads simultaneously. Multiple high-airflow system fans, a high-wattage redundancy-capable PSU configuration, and strategically routed GPU power connectors ensure stable operation when all four GPU slots are populated with high-TDP accelerators such as NVIDIA RTX or professional Quadro-class cards. The chassis exposes ample PCIe Gen 5 lanes to support full-bandwidth GPU interconnect and additional NVMe or networking expansion.

Targeted at enterprise AI teams, research institutions, and media and entertainment studios, the ESC N4-E13 bridges the gap between a professional workstation and a rack-optimized server. Its tower chassis enables deployment in workgroup environments without requiring dedicated rack infrastructure, while its enterprise-grade component selection—including IPMI-based remote management via ASUS ASMB—satisfies IT governance and remote administration requirements typical of managed enterprise fleets across UAE, GCC, EMEA, and APAC deployments.

Ideal for

• Deep learning model training using multi-GPU parallelism with frameworks such as TensorFlow and PyTorch across up to four GPU accelerators
• AI inference server deployment for real-time or batch processing workloads requiring high aggregate GPU memory capacity
• Scientific computing and CFD/FEA simulation leveraging GPU-accelerated solvers for engineering research and industrial design
• Professional 3D rendering and visual effects production using GPU render engines such as V-Ray, OctaneRender, or Blender Cycles across all four installed GPUs
• Medical imaging and diagnostic AI model development requiring large GPU memory footprints and ECC-protected system memory
• Data analytics and machine learning experimentation in enterprise research labs requiring a self-contained, locally managed GPU compute node

Technical specifications

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