ASUS ESC8000H-E12 8-GPU Intel Xeon Sapphire Rapids+ AI Server

The ASUS ESC8000H-E12 is a high-density 4U rack server engineered to support up to eight dual-slot GPUs, making it one of the most capable platforms available for large-scale AI training, deep learning inference, and high-performance computing workloads. Built on the Intel Xeon Scalable processor platform (Sapphire Rapids architecture), the system accommodates dual Xeon processors and delivers the memory bandwidth, PCIe 5.0 connectivity, and multi-GPU interconnect headroom required by modern AI frameworks such as PyTorch, TensorFlow, and NVIDIA CUDA-based pipelines.

The ESC8000H-E12 features a fully reduntant power subsystem and enterprise-grade thermal management designed for continuous operation in dense datacenter environments. The platform supports a large DDR5 memory capacity across multiple DIMM slots per CPU, enabling in-memory datasets and low-latency data access critical to iterative model training. Front-accessible NVMe storage bays, redundant power supply units, and ASUS ASMB management controller integration provide the operational resilience and remote management capability expected in mission-critical infrastructure.

Targeted at enterprises deploying GPU clusters for generative AI, computer vision, natural language processing, and scientific simulation, the ESC8000H-E12 is compatible with leading GPU accelerators from NVIDIA, including professional-grade and data-center-class cards. Its 4U chassis maximizes GPU density per rack unit, reducing footprint while sustaining the thermal and electrical headroom necessary to run all eight GPUs at sustained workload levels. This makes the ESC8000H-E12 a strategic foundation for AI infrastructure buildouts across financial services, healthcare, research institutions, and cloud-scale enterprise operators.

Ideal for

• Large-scale generative AI model training using multi-GPU parallelism across frameworks such as PyTorch FSDP and Megatron-LM
• Deep learning inference serving for real-time natural language processing and computer vision applications in production environments
• High-performance computing simulations in scientific research, computational fluid dynamics, and molecular dynamics
• GPU-accelerated data analytics and feature engineering for enterprise machine learning pipelines at datacenter scale
• Video transcoding, rendering, and AI-enhanced media processing for broadcast and digital media enterprises
• Consolidation of multiple AI workloads onto a single high-density node to optimize rack space and power utilization in colocation facilities

Technical specifications

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