ASUS ESC4000A-E11 4-GPU AMD EPYC Milan GPU Server

The ASUS ESC4000A-E11 is a 2U rackmount GPU server engineered around the AMD EPYC 7003 series (Milan) processor platform, supporting a single EPYC Milan CPU with up to 64 cores and 128 threads. The system is architected to accommodate up to four double-width GPU accelerators via PCIe 4.0 x16 slots, making it a high-density compute platform suited to GPU-intensive enterprise and scientific workloads. With support for up to 2TB of DDR4 ECC Registered memory across 16 DIMM slots and a direct-attach GPU cooling design that channels airflow efficiently across accelerator cards, the ESC4000A-E11 delivers sustained GPU throughput in a compact 2U chassis.

Storage flexibility is addressed through multiple NVMe and SATA/SAS drive bays, complemented by a dedicated OCP 3.0 mezzanine slot for high-speed network expansion. Dual 10GbE LAN ports are integrated onboard, and the platform includes a dedicated IPMI-based out-of-band management port powered by the ASPEED AST2600 baseboard management controller, enabling remote server lifecycle management through ASUS ASMB11 server management software. Redundant 2000W 80 PLUS Titanium rated power supply units ensure high power efficiency and availability under sustained GPU compute loads.

The ESC4000A-E11 targets enterprise datacenters, cloud service operators, and HPC facilities that require a dense, power-efficient GPU compute node. Its PCIe 4.0 fabric doubles available bandwidth compared to PCIe 3.0 platforms, reducing bottlenecks between the CPU and accelerators during large-scale inference and training operations. The platform is validated for use with leading GPU accelerators from NVIDIA and AMD Radeon Instinct product lines, and its 2U form factor optimizes rack density for organizations building GPU clusters for AI, deep learning, and high-performance data analytics.

Ideal for

• Large-scale deep learning model training using multi-GPU parallelism across up to four PCIe 4.0-attached accelerators
• High-throughput AI inference serving for real-time natural language processing, computer vision, and recommendation engine workloads
• High-performance computing (HPC) simulation workloads in computational fluid dynamics, molecular dynamics, and finite element analysis
• GPU-accelerated data analytics and in-database processing for enterprise business intelligence pipelines
• Scientific research workloads including genomics, climate modelling, and seismic processing requiring sustained parallel floating-point throughput
• Virtualized GPU environments (vGPU) in cloud datacenter deployments supporting concurrent multi-tenant AI and rendering workloads

Technical specifications

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