ASUS ESC4000A-E12 4x NVIDIA H100 PCIe 80GB GPU Server

The ASUS ESC4000A-E12 is a 4U rack-optimized GPU server engineered to support up to four NVIDIA H100 PCIe 80GB accelerators, delivering exceptional parallel compute throughput for the most demanding AI training, inference, and high-performance computing workloads. Built on the AMD EPYC 9004 series (Genoa) platform, the system accommodates dual processors with support for up to 6TB of DDR5 registered ECC memory across 24 DIMM slots, providing the memory bandwidth and capacity headroom required by large-scale deep learning models and data-intensive scientific simulations.

The ESC4000A-E12 integrates a PCIe 5.0 fabric that sustains high-bandwidth communication between the host CPUs and the installed H100 accelerators, each offering 80GB of HBM2e memory and 2,000 GB/s of memory bandwidth per GPU. The platform supports NVMe storage via multiple M.2 and U.2 bays, enabling fast local dataset staging, checkpoint storage, and model artifact management without reliance on external storage bottlenecks. Redundant 2+1 or fully redundant power supply configurations maintain operational continuity in production datacenter environments.

Designed for enterprise datacenters, cloud service operators, and research institutions across UAE, GCC, EMEA, and APAC regions, the ESC4000A-E12 meets the infrastructure requirements of generative AI development, large language model fine-tuning, computational fluid dynamics, financial risk modeling, and genomics processing. Its 4U chassis provides a balance of GPU density and thermal headroom, with tool-less component access and ASUS ASMB11-iKVM out-of-band management supporting remote administration across globally distributed datacenter deployments.

Ideal for

• Large language model (LLM) training and fine-tuning using frameworks such as PyTorch and TensorFlow with multi-GPU data and model parallelism across four H100 accelerators
• High-throughput AI inference serving for real-time and batch generative AI applications, including text, image, and multimodal model deployments at enterprise scale
• Computational fluid dynamics (CFD) and finite element analysis (FEA) simulations leveraging GPU-accelerated solvers for aerospace, automotive, and energy sector engineering workflows
• Genomics and bioinformatics pipelines including genome assembly, variant calling, and molecular dynamics simulations requiring sustained double-precision floating-point throughput
• Financial services quantitative modeling and Monte Carlo risk simulations demanding low-latency, high-throughput parallel computation across large datasets
• HPC cluster node deployment for scientific research institutions requiring a dense, standards-compliant GPU compute node compatible with SLURM and PBS workload managers

Technical specifications

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