Supermicro SuperServer SYS-811GT-TBN — 8x NVIDIA H100 NVL 94GB PCIe Gen5 System

The Supermicro SuperServer SYS-811GT-TBN is an 8U GPU-optimized server engineered to house eight NVIDIA H100 NVL 94GB PCIe Gen5 accelerators, delivering exceptional parallel compute density for the most demanding enterprise AI and HPC workloads. Built on the NVIDIA Hopper architecture, the H100 NVL GPUs each feature 94GB of HBM2e memory and are interconnected via NVLink Bridge technology, enabling high-bandwidth GPU-to-GPU communication that is critical for large-scale model training and inference. The system leverages PCIe Gen5 host connectivity to minimize data transfer bottlenecks between the CPUs and the accelerator subsystem, making it well-suited for production-scale deep learning pipelines and scientific simulation environments.

The SYS-811GT-TBN is designed around Supermicro's modular, hot-swap-friendly architecture, incorporating enterprise-grade redundant power supplies, high-airflow cooling infrastructure, and support for dual 4th Gen Intel Xeon Scalable processors. The platform accommodates high-capacity DDR5 system memory across multiple DIMM slots, providing the host-side memory bandwidth necessary to sustain GPU saturation across all eight accelerators simultaneously. Integrated IPMI-based out-of-band management through Supermicro's ASPEED AST2600 BMC enables remote monitoring, power control, and firmware updates without disrupting production workloads.

As a purpose-built AI infrastructure platform, the SYS-811GT-TBN addresses enterprise requirements for consolidating large language model (LLM) training, generative AI inference serving, and high-performance data analytics into a single rack-efficient system. Its compatibility with standard 19-inch data center racks, combined with Supermicro's rigorous validation for enterprise operating environments, makes this server a foundational building block for organizations constructing private AI clouds or expanding GPU cluster capacity across UAE, GCC, EMEA, and APAC data centers.

Ideal for

• Large language model (LLM) pre-training and fine-tuning requiring multi-GPU NVLink-bridged memory pooling across 8x H100 NVL 94GB accelerators
• Generative AI inference serving at scale, supporting concurrent high-throughput request handling for enterprise-grade AI applications
• High-performance computing (HPC) workloads including computational fluid dynamics, molecular dynamics simulation, and climate modeling
• Data center AI consolidation, replacing multiple smaller GPU nodes with a single 8U system to improve rack density and reduce interconnect overhead
• Enterprise MLOps pipelines requiring dedicated GPU infrastructure for continuous model training, validation, and deployment cycles
• Rendering and scientific visualization workloads in media, energy, and engineering sectors demanding sustained FP64 and FP32 throughput

Technical specifications

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