ASUS ESC8000H-E12S Storage-Optimized 8-GPU Server

The ASUS ESC8000H-E12S is a storage-optimized 8-GPU server engineered for the most demanding enterprise AI training, deep learning inference, and high-performance computing workloads. Built on the Intel Xeon Scalable (Sapphire Rapids) platform with dual-socket LGA4677 support, it accommodates up to eight full-height, full-length double-slot GPUs via PCIe 5.0 x16 slots, delivering exceptional parallel compute bandwidth for large-scale model training and multi-tenant GPU virtualization environments. The chassis integrates an advanced hot-swappable NVMe and SATA storage subsystem that distinguishes it from conventional GPU-dense platforms, enabling direct, low-latency dataset access without reliance on external storage appliances.

The ESC8000H-E12S supports up to 8TB of DDR5 ECC RDIMM memory across 32 DIMM slots, providing the large memory footprints required for in-memory analytics, genomics pipelines, and LLM fine-tuning. Redundant 3000W platinum-level power supplies ensure continuous operation under full GPU load, while the tool-less 8U rackmount design and intelligent fan control system support high-density datacenter deployment. The server includes ASUS ASMB11-iKVM out-of-band management, enabling remote monitoring, power control, and firmware updates through a dedicated management interface compliant with IPMI 2.0 and Redfish standards.

Designed for enterprise datacenters across AI research, oil and gas simulation, financial risk modeling, and media rendering verticals, the ESC8000H-E12S ships with ASUS Control Center Express support for centralized fleet management. Its storage-optimized architecture accommodates multiple U.2/U.3 NVMe drives alongside SATA bays, making it particularly well-suited for organizations requiring co-located, high-throughput dataset storage with GPU compute in a single rack unit footprint. Omnixon Global supplies this platform to enterprise buyers across the UAE, GCC, EMEA, and APAC regions.

Ideal for

• Large-scale deep learning and LLM training requiring simultaneous utilization of up to eight high-end data center GPUs with direct NVMe dataset access
• Multi-tenant GPU virtualization for cloud service providers offering GPU-accelerated instances with isolated, high-bandwidth storage per tenant
• Seismic processing and reservoir simulation in oil and gas, where co-located NVMe storage eliminates network I/O bottlenecks during iterative compute cycles
• High-throughput genomics and bioinformatics pipelines demanding both large DDR5 memory capacity and rapid local dataset streaming to GPU memory
• Financial services risk modeling and Monte Carlo simulation leveraging parallel GPU compute with low-latency access to market data stored on local NVMe arrays
• Professional media and visual effects rendering farms requiring dense GPU compute with integrated fast local scratch storage for frame cache and asset management

Technical specifications

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