ASUS ESC10000-E12 10x PCIe GPU Server (B200 PCIe 192GB Config)

The ASUS ESC10000-E12 is a high-density GPU server engineered to support up to ten PCIe-attached GPUs, configured here with NVIDIA B200 PCIe accelerators each carrying 192GB of HBM3e memory. Built on the Intel Xeon Scalable (Sapphire Rapids or Emerald Rapids) platform, the ESC10000-E12 provides the compute headroom and PCIe Gen 5 bandwidth necessary to sustain continuous, high-throughput AI inference and model training workloads at enterprise scale. Its chassis architecture is purpose-designed to manage the substantial thermal and power demands of ten full-height, full-length PCIe GPU cards simultaneously.

The B200 PCIe configuration delivers a cumulative 1.92TB of HBM3e GPU memory across the ten accelerators, enabling the in-memory hosting of very large foundation models — including large language models (LLMs) and multimodal models — without model sharding across nodes. Each NVIDIA B200 PCIe GPU is based on the Blackwell architecture, offering significant double-precision and tensor-core throughput improvements over previous generations, making this configuration well suited to scientific computing, generative AI development, and high-performance data analytics pipelines.

The ESC10000-E12 is designed for deployment in enterprise data centers, AI cloud infrastructure, and sovereign AI facilities across the UAE, GCC, EMEA, and APAC regions. Its dual-socket motherboard design, enterprise-grade redundant power supply configuration, and hot-swap storage bays reflect the operational reliability requirements of production AI environments. Omnixon Global supplies this system to enterprise buyers and public-sector organizations requiring qualified, datacenter-ready GPU compute infrastructure.

Ideal for

• Large language model (LLM) training and fine-tuning where full-model weight storage in GPU HBM memory is required to avoid inter-node communication overhead
• Generative AI inference serving for enterprise applications requiring low-latency responses from multi-billion or trillion-parameter models
• High-performance scientific computing and simulation workloads, including computational fluid dynamics and molecular dynamics, benefiting from Blackwell double-precision throughput
• Enterprise AI platform build-out for sovereign AI data centers in UAE, GCC, and EMEA regions requiring dense GPU compute in a single chassis
• Multi-tenant GPU cloud node deployment where ten isolated PCIe GPU resources can be partitioned and allocated across virtualized enterprise workloads
• Data analytics acceleration and large-scale data preprocessing pipelines feeding downstream model training or real-time business intelligence systems

Technical specifications

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