ASUS ESC N8-E11V NVIDIA HGX H200 AI Server

The ASUS ESC N8-E11V is a purpose-built 7U rack server engineered around the NVIDIA HGX H200 8-GPU baseboard, delivering the full performance envelope of eight NVIDIA H200 SXM5 GPUs interconnected via fifth-generation NVLink at 900 GB/s aggregate GPU-to-GPU bandwidth. Built on the Intel Xeon Scalable (Sapphire Rapids or Emerald Rapids) dual-socket platform, the system provides the CPU compute headroom and high-bandwidth PCIe Gen 5 fabric necessary to feed eight 141 GB HBM3e-equipped accelerators without creating host-side bottlenecks. The tight integration between the HGX baseboard and the server chassis delivers a thermally optimized, data-center-ready solution that supports both air-cooling and optional liquid-assisted cooling configurations for sustained peak GPU utilization in dense cluster deployments.

The ESC N8-E11V is architected for hyperscale and enterprise AI infrastructure teams requiring a standardized, validated GPU node for LLM training, fine-tuning, and high-throughput inference at scale. Its PCIe Gen 5 host interface, support for CXL memory expansion, and high-density NVMe storage bay configuration ensure that I/O bottlenecks do not limit GPU utilization during data-intensive workloads such as multimodal foundation model training or retrieval-augmented generation pipelines. The platform is qualified for integration into NVIDIA DGX SuperPOD-compatible cluster topologies and supports InfiniBand NDR400 and Ethernet 400GbE network fabrics for east-west GPU-to-GPU traffic across nodes.

Launched in Q2 2025, the ESC N8-E11V reflects ASUS's enterprise server design expertise applied to the most demanding AI infrastructure requirements. Its IPMI-based out-of-band management, ASUS ASMB management controller, and compatibility with standard DCIM and cluster management tools allow operations teams to deploy, monitor, and maintain large GPU clusters with the same operational workflows used for conventional data-center infrastructure. The platform is NVIDIA-certified and carries the HGX branding, ensuring software ecosystem compatibility with CUDA, NCCL, cuDNN, and the full NVIDIA AI Enterprise software stack.

Ideal for

• Large language model (LLM) pre-training and fine-tuning across multi-node GPU clusters using frameworks such as Megatron-LM, PyTorch FSDP, and DeepSpeed
• High-throughput generative AI inference serving for production-grade LLM and multimodal model deployments requiring maximum per-node GPU memory capacity
• Retrieval-augmented generation (RAG) pipelines and vector database acceleration leveraging the combined 1,128 GB of HBM3e across eight H200 GPUs for in-memory knowledge base operations
• Scientific simulation and HPC workloads such as molecular dynamics, climate modeling, and computational fluid dynamics that benefit from NVLink-unified GPU memory addressing
• Enterprise AI platform consolidation where organizations require a validated, NVIDIA-certified GPU node compatible with NVIDIA Base Command, Kubernetes GPU operators, and Slurm-based schedulers
• Sovereign AI cloud build-outs and national AI research infrastructure deployments requiring dense, high-memory GPU compute with open-standards network fabric support

Technical specifications

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