ASUS ESC4000H-E11 4-GPU Intel Xeon AI Server 4U

The ASUS ESC4000H-E11 is a 4U rack-mounted GPU computing server engineered for demanding AI training, deep learning inference, and high-performance computing workloads in enterprise datacenters. Built on the Intel Xeon Scalable (4th Gen, Sapphire Rapids) processor platform with the Intel C741 chipset, the system accommodates dual processors and provides the PCIe 5.0 fabric bandwidth necessary to sustain peak throughput across up to four double-width GPU accelerators simultaneously. The chassis architecture prioritizes thermal efficiency and signal integrity, making it suitable for sustained 24/7 datacenter operation at full GPU load.

The ESC4000H-E11 supports up to 4 TB of DDR5 ECC RDIMM memory across 32 DIMM slots, delivering the high-capacity, high-bandwidth memory subsystem that modern large-scale AI model training and HPC simulation pipelines require. Storage flexibility is addressed through multiple NVMe and SATA/SAS connectivity options, while dual 10GbE onboard LAN and optional OCP 3.0 mezzanine networking facilitate integration into existing enterprise network infrastructure. Redundant 2+1 or 2+2 hot-swap power supply configurations ensure continuous availability in mission-critical environments.

Designed to support GPU accelerators from major silicon vendors via its full-length, full-height, double-width PCIe 5.0 x16 slots, the ESC4000H-E11 is positioned for AI model development, scientific simulation, video transcoding at scale, and financial analytics acceleration. ASUS ASMB11-iKVM out-of-band management and IPMI 2.0 compliance give datacenter operations teams remote monitoring, power control, and system health visibility without requiring physical access to the server.

Ideal for

• Large-scale AI and deep learning model training using multi-GPU parallelism across frameworks such as PyTorch and TensorFlow
• High-performance inference serving for enterprise AI applications requiring low-latency GPU-accelerated response at scale
• Scientific and engineering simulation workloads including computational fluid dynamics, molecular dynamics, and finite element analysis
• Large-scale video transcoding, rendering, and media processing pipelines in broadcast and streaming infrastructure
• Financial services risk modeling, Monte Carlo simulation, and real-time analytics acceleration
• Virtualized GPU workloads and cloud-native AI platform deployments requiring dense compute in a 4U rack footprint

Technical specifications

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