ASUS ESC8000H-E11 8x PCIe GPU Server (H100 NVL 94GB Config)

The ASUS ESC8000H-E11 is a purpose-built 4U rackmount GPU server engineered to support up to eight PCIe-attached NVIDIA H100 NVL 94GB GPUs, delivering exceptional parallel compute density for the most demanding AI training, inference, and high-performance computing workloads. Built on the Intel Xeon Scalable (Sapphire Rapids) platform with support for dual processors, the system provides the PCIe 5.0 bandwidth, memory capacity, and I/O throughput required to fully exploit the H100 NVL's Transformer Engine and second-generation Multi-Instance GPU capabilities. The H100 NVL 94GB variant pairs two GH100 dies per card with 188 GB of HBM3 per dual-card module, enabling large language model training and inference at scale without the NVLink Switch fabric required by SXM configurations.

The ESC8000H-E11 accommodates large system memory configurations through its multi-channel DDR5 DIMM slots, and integrates high-bandwidth storage options including NVMe U.2 and M.2 drives to keep GPU pipelines supplied with data. Redundant 80 PLUS Titanium-rated power supplies and a hot-swap drive and fan architecture ensure continuous operation in production datacenter environments. The chassis thermal design is optimized for the sustained TDP demands of eight full-height, full-length dual-slot GPU accelerators running simultaneously under continuous AI workload conditions.

Targeted at enterprise datacenters, cloud service providers, and research institutions across UAE, GCC, EMEA, and APAC regions, the ESC8000H-E11 is managed through ASUS ASMB11-iKVM out-of-band management with IPMI 2.0 and Redfish API support, enabling integration into existing datacenter orchestration and monitoring stacks. Its standard 4U rackmount form factor and compatibility with ASUS ASWM Enterprise software make it a production-ready foundation for large-scale generative AI, scientific simulation, and data analytics infrastructure.

Ideal for

• Large language model (LLM) pre-training and fine-tuning requiring high aggregate GPU memory across multiple H100 NVL 94GB accelerators
• High-throughput generative AI inference serving with concurrent multi-model deployment leveraging MIG partitioning on each H100 NVL GPU
• Scientific high-performance computing including molecular dynamics, computational fluid dynamics, and climate modeling at datacenter scale
• Computer vision and multimodal AI pipeline training requiring sustained PCIe 5.0 bandwidth between CPUs, GPUs, and NVMe storage tiers
• Enterprise AI-as-a-Service platforms requiring dense, rack-optimized GPU compute with out-of-band remote management for multi-tenant environments
• Data analytics and graph neural network workloads benefiting from the H100 NVL's large 94 GB per-card HBM3 memory footprint

Technical specifications

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