NVIDIA H100 SXM5 80GB HBM2e – Dell PowerEdge XE9680 Node

The NVIDIA H100 SXM5 80GB HBM2e, integrated into the Dell PowerEdge XE9680 node, represents NVIDIA's flagship Hopper-architecture GPU engineered for the most demanding enterprise AI, HPC, and data center workloads. Built on the SXM5 form factor with NVLink 4.0 interconnect support, the H100 delivers a fundamental leap in transformer model performance through its dedicated Transformer Engine, which leverages FP8 mixed-precision computation to accelerate large language model training and inference at unprecedented throughput. With 80GB of HBM2e memory and a 3.35 TB/s memory bandwidth, the GPU sustains high-volume data movement essential for deep learning frameworks and scientific simulation pipelines.

The Dell PowerEdge XE9680 is purpose-built to host up to eight H100 SXM5 GPUs in a 7U chassis, interconnected via fourth-generation NVLink at 900 GB/s bidirectional GPU-to-GPU bandwidth, eliminating PCIe bottlenecks for tightly coupled multi-GPU workloads. The XE9680 node integrates dual Intel Xeon Scalable processors, high-bandwidth DDR5 system memory, and NVSwitch fabric support, delivering a cohesive, thermally optimized platform that sustains full GPU TDP under continuous enterprise operation. Dell's systems validation and firmware integration ensure the H100 SXM5 operates within the XE9680's power and cooling envelope for predictable, datacenter-grade reliability.

This GPU node is positioned as a strategic infrastructure investment for organizations accelerating generative AI, scientific research, financial modeling, and large-scale machine learning operations across UAE, GCC, EMEA, and APAC markets. Omnixon Global offers this solution with worldwide availability, enabling enterprise IT procurement teams across these regions to access certified, production-ready GPU compute capacity. The combination of NVIDIA's Hopper microarchitecture and Dell's enterprise systems integration makes the XE9680 H100 node a reference platform for hyperscale-class AI infrastructure deployed within on-premises or hybrid datacenter environments.

Ideal for

• Large language model (LLM) pre-training and fine-tuning, including GPT-class and multimodal transformer architectures requiring high-bandwidth multi-GPU NVLink fabric
• Generative AI inference serving at enterprise scale, utilizing the Transformer Engine's FP8 precision to maximize throughput per GPU for production AI endpoints
• High-performance computing and scientific simulation workloads such as molecular dynamics, computational fluid dynamics, and climate modeling requiring sustained FP64 double-precision performance
• Deep learning model development and MLOps pipeline acceleration for computer vision, natural language processing, and recommendation system training across enterprise data platforms
• Financial services quantitative analytics and risk modeling, leveraging GPU-accelerated Monte Carlo simulations and real-time portfolio optimization at datacenter scale
• Healthcare and life sciences AI applications including genomics data processing, drug discovery acceleration, and medical imaging inference deployed within compliant on-premises infrastructure

Technical specifications

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