Dell PowerEdge XE9680 8-GPU Server Configured with H100 SXM5 80GB (8× GPU, 2× Xeon Scalable)

The Dell PowerEdge XE9680 is a purpose-built, high-density 8-GPU rack server engineered specifically for the most demanding AI training, large language model development, and high-performance computing workloads in modern datacenters. Configured with eight NVIDIA H100 SXM5 80GB GPUs interconnected via NVLink and NVSwitch fabric, the system delivers up to 32 petaFLOPS of FP8 AI compute across the GPU subsystem. Dual Intel Xeon Scalable processors provide robust host compute, while PCIe Gen 5 connectivity and high-bandwidth memory subsystems ensure data is fed to the GPUs without bottleneck. The chassis accommodates the full SXM5 form factor, which leverages a higher-bandwidth GPU-to-GPU interconnect than PCIe-attached alternatives, making it the preferred platform for tightly coupled parallel training jobs.

The XE9680 supports NVLink 4.0, providing up to 900 GB/s bidirectional bandwidth between GPUs within the node, enabling collective operations such as AllReduce to execute at near-memory speeds rather than being limited by external network fabric. Each H100 SXM5 GPU carries 80GB of HBM3 memory with approximately 3.35 TB/s of memory bandwidth per GPU, yielding a combined 640GB of GPU-addressable HBM3 across the full 8-GPU configuration. The server integrates Dell's OpenManage systems management ecosystem, iDRAC9 with Lifecycle Controller, and supports out-of-band telemetry critical for GPU health monitoring in production AI infrastructure.

Designed for enterprise datacenters operating at scale, the PowerEdge XE9680 is deployed by organizations building GPU clusters for foundation model training, scientific simulation, molecular dynamics, seismic processing, and real-time inference serving. The platform ships in a standard 10U rack form factor and is compatible with standard 19-inch datacenter racks, supporting high-density GPU pod deployments when combined with spine-leaf networking fabrics such as InfiniBand NDR or Ethernet 400GbE. Omnixon Global supplies this configuration to enterprise and public-sector customers across UAE, GCC, EMEA, and APAC regions.

Ideal for

• Large language model (LLM) pre-training and fine-tuning requiring tightly coupled multi-GPU tensor and pipeline parallelism across all 8 H100 SXM5 GPUs
• Generative AI infrastructure for building and serving foundation models including transformer-based vision, speech, and multimodal architectures
• High-performance computing workloads such as computational fluid dynamics, molecular dynamics simulation, and climate modeling leveraging FP64 double-precision throughput
• Enterprise AI research clusters where NVLink 4.0 fabric eliminates PCIe bandwidth constraints for gradient-synchronization-intensive distributed training jobs
• Real-time and batch inference serving for large-scale production AI models requiring high GPU memory capacity (640GB aggregate HBM3) to hold multi-billion parameter models in VRAM
• Seismic data processing, genomics, and financial risk modeling workloads that benefit from the XE9680's combination of high memory bandwidth, FP64 compute, and enterprise manageability via iDRAC9

Technical specifications

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