ASUS ESC N8-E12 8x NVIDIA H200 SXM5 141GB GPU Server

The ASUS ESC N8-E12 is a purpose-built high-density GPU server engineered to house eight NVIDIA H200 SXM5 GPUs, each equipped with 141 GB of HBM3e memory, delivering a combined 1,128 GB of GPU memory per node. Built on the NVIDIA Hopper architecture, the H200 SXM5 accelerators interconnect via NVLink and NVSwitch fabric, enabling all-to-all GPU communication at high bandwidth within the node. The ESC N8-E12 is designed around the NVIDIA HGX H200 8-GPU baseboard and accommodates dual high-core-count Intel Xeon Scalable or AMD EPYC server-class processors, with support for high-capacity DDR5 registered ECC system memory across multiple channels.

The platform targets the most demanding enterprise AI and HPC workloads, where memory capacity and GPU-to-GPU bandwidth are the primary constraints on model scale and throughput. The H200 SXM5's HBM3e memory subsystem provides substantially higher memory bandwidth compared to prior generation HBM2e devices, making the ESC N8-E12 particularly well-suited for large language model training, mixture-of-experts inference, and scientific simulation workloads that operate on very large datasets. The server integrates high-speed NVMe storage connectivity, PCIe Gen 5 I/O, and high-bandwidth network interface support to ensure that data pipelines keep pace with GPU compute throughput.

As an ASUS Enterprise Server, the ESC N8-E12 includes remote management capabilities via a dedicated baseboard management controller and is designed for deployment in standard enterprise datacenter racks with appropriate power and cooling infrastructure. The system is available through Omnixon Global for enterprise buyers across the UAE, GCC, EMEA, and APAC regions, supporting AI infrastructure build-outs, national computing initiatives, cloud service provider GPU clusters, and research computing environments.

Ideal for

• Large language model pre-training and fine-tuning requiring multi-hundred-billion parameter models that exceed the memory capacity of single GPUs
• Generative AI inference serving for high-throughput, low-latency enterprise AI applications including real-time text, code, and multimodal generation
• High-performance scientific simulation and computational fluid dynamics requiring tightly coupled multi-GPU parallelism across a dense GPU node
• Enterprise AI research and development environments where rapid iteration on frontier model architectures demands maximum on-node GPU memory
• Cloud and managed service provider GPU node deployments offering H200 SXM5 compute-as-a-service across GCC, EMEA, and APAC markets
• Government and national AI initiative infrastructure requiring sovereign, datacenter-grade GPU compute for strategic workloads

Technical specifications

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