ASUS ESC N8-E11 NVIDIA H200 SXM5 141GB HBM3e GPU Server

The ASUS ESC N8-E11 (part number ESC-N8-E11-H200) is a purpose-built high-density GPU server engineered around eight NVIDIA H200 SXM5 accelerators, each equipped with 141 GB of HBM3e memory. The system is built on the NVIDIA NVLink Switch System interconnect fabric, enabling all eight GPUs to operate as a unified, high-bandwidth compute pool. With each H200 SXM5 GPU delivering up to 3.35 TB/s of memory bandwidth and the full node aggregating over 1.1 TB of GPU memory, the ESC N8-E11 addresses the most demanding large-scale AI training and high-performance computing requirements in modern datacenter environments.

The ESC N8-E11 leverages the NVIDIA Hopper GPU architecture, which introduces the Transformer Engine with FP8 precision support, enabling accelerated training of large language models and other transformer-based neural networks without sacrificing numerical accuracy. The platform supports NVLink 4.0 for GPU-to-GPU communication at 900 GB/s bidirectional bandwidth per GPU, and integrates NVSwitch technology to provide all-to-all connectivity across the full eight-GPU topology. High-speed PCIe Gen 5 connectivity and support for dual high-performance Intel Xeon processors ensure that CPU-to-GPU data paths remain balanced with GPU compute throughput.

Designed for enterprise datacenter deployment, the ASUS ESC N8-E11 supports the full NVIDIA AI Enterprise software stack and is compatible with frameworks including PyTorch, TensorFlow, JAX, and NVIDIA NeMo. The chassis incorporates a redundant power subsystem and hot-swap storage bays, reflecting enterprise-grade reliability expectations for always-on AI infrastructure. Omnixon Global supplies the ESC N8-E11 to enterprise, government, and research buyers across the UAE, GCC, EMEA, and APAC regions.

Ideal for

• Large language model (LLM) pre-training and fine-tuning requiring multi-hundred-billion parameter model support across a unified high-bandwidth GPU memory pool
• Generative AI inference serving for real-time applications where low latency and high throughput across large model weights are critical
• High-performance computing (HPC) simulations in scientific research, climate modeling, and computational fluid dynamics leveraging FP64 Hopper precision
• Multi-modal AI development combining vision, language, and structured data pipelines on a single eight-GPU node with unified memory addressing
• Enterprise AI platform consolidation, replacing multi-node clusters with a single dense server to reduce network overhead and operational complexity
• Government and sovereign AI datacenter deployments in UAE and GCC requiring certified, enterprise-class hardware with globally supported supply chains

Technical specifications

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