Dell PowerEdge XE9680L GPU Server

The Dell PowerEdge XE9680L is a high-density, liquid-cooled GPU accelerator server engineered specifically for the most demanding large-scale AI training and HPC workloads. Built around eight NVIDIA H200 SXM5 GPUs interconnected via NVLink 4.0, the system delivers exceptional aggregate GPU memory bandwidth and a combined 1.12 TB of HBM3e GPU memory, enabling organizations to train frontier-scale large language models and multimodal AI architectures that were previously impractical on single-node infrastructure. The 'L' designation distinguishes this platform through its direct liquid cooling architecture, which removes the majority of heat at the chip level and dramatically reduces dependence on raised-floor computer-room air conditioning, resulting in a materially lower Power Usage Effectiveness (PUE) compared to air-cooled equivalents—a critical differentiator for high-density data centers operating at scale.

Architecturally, the XE9680L is derived from the proven XE9680 chassis lineage but reengineered for rear-door and direct liquid cooling infrastructure. The server houses dual 5th Generation Intel Xeon Scalable or AMD EPYC processors providing the host compute fabric, paired with up to 8 TB of DDR5 system memory across 96 DIMM slots. An NVSwitch-based GPU fabric interconnect ensures all-to-all GPU communication at full NVLink 4.0 bandwidth, which is essential for tensor-parallel and pipeline-parallel training strategies used in modern transformer models. High-speed host-to-GPU connectivity is delivered through multiple PCIe Gen 5 slots supporting 400GbE or InfiniBand NDR networking adapters, enabling the server to participate as a tightly coupled node within large GPU clusters.

The XE9680L launched in Q1 2025 and is purpose-positioned for hyperscale AI infrastructure, national laboratories, enterprise AI Centers of Excellence, and cloud service providers seeking to consolidate GPU capacity while reducing total data center cooling overhead. Dell EMC's OpenManage ecosystem provides full lifecycle management integration, including GPU telemetry, thermal monitoring, and iDRAC 9 remote access, while the system's mechanical design accommodates both rear-door heat exchanger (RDHx) and facility-side direct liquid cooling loops, offering flexibility across diverse data center cooling topologies.

Ideal for

• Large language model (LLM) pre-training and fine-tuning at parameter scales exceeding hundreds of billions using multi-node GPU clusters with NVLink and InfiniBand NDR fabric
• Multimodal foundation model development encompassing vision-language, video generation, and speech synthesis workloads requiring sustained HBM3e memory bandwidth across all eight GPUs
• High-performance scientific computing and computational fluid dynamics simulations in national laboratories and research institutions demanding dense FP64 and mixed-precision throughput
• Inference serving for frontier AI models in data center environments where high GPU memory capacity per node reduces the number of nodes required for large-model deployment
• Reinforcement learning from human feedback (RLHF) pipelines requiring rapid iteration across reward modeling, policy optimization, and evaluation stages with high GPU utilization
• Digital twin simulation and physics-based AI model training for industrial, aerospace, and climate-modeling applications that benefit from low-latency GPU-to-GPU communication

Technical specifications

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