ASUS ESC N4-E11 4-GPU NVLink Intel Ice Lake AI Server

The ASUS ESC N4-E11 is a 4-GPU NVLink-capable AI server engineered for enterprise-grade deep learning, high-performance computing, and large-scale inference workloads. Built on Intel's 3rd Generation Xeon Scalable (Ice Lake) platform, the system supports dual-socket configurations with up to 40 cores per processor, delivering the CPU compute density required to feed multiple GPU accelerators without pipeline bottlenecks. The chassis accommodates four full-length, full-height double-width GPU cards with NVLink bridge support, enabling high-bandwidth GPU-to-GPU communication for memory-pooling across accelerators in demanding model training scenarios.

The ESC N4-E11 supports up to 4 TB of DDR4 3200 MHz ECC RDIMM/LRDIMM memory across 32 DIMM slots, ensuring that memory-intensive AI frameworks and in-memory analytics workloads are not constrained by bandwidth. Storage flexibility is addressed through multiple NVMe M.2 slots and support for 2.5-inch SATA/SAS drive bays, allowing administrators to configure fast scratch storage for dataset staging alongside higher-capacity spinning or flash tiers. The platform integrates a dedicated ASUS ASMB10-iKVM baseboard management controller for out-of-band remote management, IPMI 2.0 compliance, and integration with leading data center infrastructure management toolchains.

Designed for deployment in enterprise data centers, cloud service provider facilities, and AI research environments across the UAE, GCC, EMEA, and APAC regions, the ESC N4-E11 conforms to standard 4U rack form factor dimensions and supports redundant hot-swap power supplies to meet the high availability requirements of production AI infrastructure. The system's PCIe 4.0 fabric provides the throughput headroom necessary for NVMe storage, high-speed networking, and GPU data paths to operate concurrently without saturation, making it a versatile foundation for both training and real-time inference pipelines.

Ideal for

• Large-scale deep learning model training using multi-GPU NVLink topologies for natural language processing, computer vision, and recommendation systems
• Enterprise AI inference serving requiring high-throughput GPU compute across simultaneous model instances in production environments
• High-performance computing simulation and numerical analysis workloads that benefit from tightly coupled CPU and multi-GPU parallelism
• Data center consolidation of GPU-accelerated virtual workstations or VDI environments requiring dense 4-GPU configurations in a single 4U node
• Scientific research computing including genomics, molecular dynamics, and climate modeling that demands both large memory capacity and GPU acceleration
• Edge-of-core AI pipeline processing where pre-processed data from distributed edge nodes is aggregated and analyzed at regional data center tier

Technical specifications

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