ASUS ESC4000A-E12 H200 PCIe 141GB GPU Server (4-GPU AMD EPYC)

The ASUS ESC4000A-E12 is a 4U rack server engineered for high-density GPU compute, configured here with an NVIDIA H200 NVL PCIe GPU delivering 141 GB of HBM3e memory. Built on the AMD EPYC (Genoa) platform, the system supports dual 4th Gen AMD EPYC processors with up to 192 cores total and integrates a PCIe 5.0 fabric to maximize bandwidth between CPUs and GPU accelerators. The architecture is optimized for throughput-intensive AI inference, large-scale model training, and scientific simulation workloads that demand extreme memory capacity and bandwidth.

The ESC4000A-E12 accommodates up to four full-length, full-height dual-slot PCIe 5.0 x16 GPU cards, enabling multi-GPU parallelism within a single chassis without NVLink. The server supports high-capacity DDR5 RDIMM/LRDIMM memory across 24 DIMM slots, and provides extensive NVMe and SATA storage options through its onboard and riser-based storage connectivity. Dual 10GbE LAN ports and an optional OCP 3.0 network expansion slot ensure flexible high-speed networking for cluster and fabric integration. A 2000 W redundant platinum-rated power subsystem sustains continuous GPU and CPU operation under sustained compute loads.

Positioned for enterprise datacenters, cloud service operators, and AI research facilities across UAE, GCC, EMEA, and APAC regions, the ESC4000A-E12 H200 configuration addresses deployments where on-premises GPU density, memory footprint, and PCIe-native flexibility are prioritized over proprietary interconnects. The platform is compatible with major AI frameworks, HPC middleware, and virtualization stacks, making it a versatile foundation for diverse accelerated computing infrastructure.

Ideal for

• Large language model (LLM) inference serving requiring 141 GB HBM3e memory capacity per GPU to run multi-hundred-billion parameter models without quantization
• Generative AI training runs on mid-scale models using PCIe-attached multi-GPU parallelism within a single 4U chassis
• High-performance computing (HPC) simulations in climate modeling, computational fluid dynamics, and molecular dynamics that benefit from HBM3e bandwidth
• Enterprise AI inference clusters deployed on-premises in datacenter environments across GCC and EMEA requiring certified server platforms
• Data analytics and GPU-accelerated database query acceleration leveraging large HBM3e memory to keep working datasets fully in-GPU memory
• AI model fine-tuning and research experimentation workloads that require flexible PCIe GPU configurations without proprietary interconnect constraints

Technical specifications

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