ASUS ESC10000-E12S GPU Server (Storage-Optimized)

The ASUS ESC10000-E12S is a high-density GPU server engineered for demanding enterprise AI, deep learning, and high-performance computing environments. Built on the Intel Xeon Scalable (Sapphire Rapids) platform with the Intel C741 chipset, it supports dual processors and delivers the computational backbone required for large-scale model training, inference, and parallel workload execution. The system accommodates up to ten double-width GPUs across its PCIe 5.0 expansion architecture, making it a purpose-built platform for GPU-intensive datacenter operations.

Distinguishing itself as a storage-optimized variant, the ESC10000-E12S integrates an expanded internal storage subsystem suitable for datasets, model checkpoints, and high-throughput I/O pipelines that GPU workloads depend upon. The system supports DDR5 registered ECC memory across 32 DIMM slots for high-capacity, error-corrected memory configurations essential in production AI and analytics environments. Dual 10GbE onboard networking, combined with OCP 3.0 and PCIe 5.0 expansion slots, provides flexible, low-latency connectivity options for modern datacenter fabric integration.

Designed for enterprise IT departments, cloud service operators, and AI research institutions across UAE, GCC, EMEA, and APAC regions, the ESC10000-E12S reflects ASUS's commitment to rack-scale reliability and serviceability. Redundant 80 PLUS Titanium power supplies, tool-less component access, and ASUS ASMB11-iKVM remote management ensure operational continuity in always-on production environments. Its 10U chassis form factor balances GPU density with thermal management headroom, supporting sustained full-load operation across extended deployment cycles.

Ideal for

• Large-scale generative AI and large language model (LLM) training requiring sustained multi-GPU parallel compute across extended job runs
• High-throughput AI inference serving for real-time enterprise applications such as computer vision, NLP, and recommendation engines
• Scientific HPC simulations in energy, genomics, and financial modeling that demand dense floating-point compute paired with fast local storage
• Data pipeline acceleration where NVMe-rich local storage enables rapid dataset ingestion and preprocessing ahead of GPU compute stages
• Multi-tenant GPU virtualization environments in private cloud and colocation datacenters requiring isolated, high-performance compute partitions
• Video analytics and synthetic media processing workloads demanding simultaneous high-resolution stream handling and on-server dataset retention

Technical specifications

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