Dell PowerEdge XE9685L GPU Server

The Dell PowerEdge XE9685L is a purpose-built, liquid-cooled GPU server engineered to address the most demanding large-scale AI training, generative AI, and high-performance computing workloads. At its core, the system pairs dual AMD EPYC 9005-series (Genoa/Turin generation) processors with up to eight NVIDIA HGX B200 SXM GPU modules, delivering an unprecedented density of compute per rack unit. The server's direct liquid cooling (DLC) architecture removes heat directly from CPUs, GPUs, and other high-TDP components, dramatically reducing dependence on raised-floor air cooling and enabling sustained peak performance in modern data center environments that prioritize power and thermal efficiency.

The HGX B200 GPU subsystem leverages NVIDIA's Blackwell architecture, providing fifth-generation NVLink interconnects and NVSwitch fabric that allow all eight GPUs to function as a unified, tightly coupled compute fabric. This architecture is critical for training large language models (LLMs), multimodal foundation models, and other workloads that require high-bandwidth, low-latency GPU-to-GPU communication at scale. PCIe Gen 5 host connectivity, high-capacity DDR5 system memory, and ultra-fast NVMe storage options ensure that data pipelines and model checkpointing keep pace with GPU throughput, eliminating CPU- or storage-side bottlenecks.

Launched in Q2 2025, the XE9685L is managed through Dell's OpenManage ecosystem and is fully compatible with Redfish-based API automation, enabling seamless integration into AI infrastructure orchestration platforms such as NVIDIA Base Command Manager, Kubernetes with GPU Operator, and SLURM-based HPC schedulers. The system's mechanical design targets standard 10U or equivalent rack form factors optimized for rear-door or facility-integrated liquid cooling loops, making it a strategic building block for hyperscale AI factories, national research laboratories, cloud service providers, and enterprise AI centers of excellence.

Ideal for

• Training and fine-tuning large language models (LLMs) with billions to trillions of parameters using distributed tensor and pipeline parallelism across the full 8-GPU NVLink fabric
• Generative AI inference serving for high-throughput, low-latency deployments of multimodal foundation models in production enterprise AI platforms
• High-performance scientific simulation and computational fluid dynamics workloads requiring sustained FP64 and mixed-precision throughput at multi-petaflop scale
• AI drug discovery and genomics pipelines that combine large dataset ingestion, deep learning model training, and iterative simulation in a tightly integrated compute environment
• Sovereign AI and national research computing initiatives requiring dense, self-contained GPU clusters with full software stack control and data residency compliance
• Digital twin development and physics-based AI model training for industrial automation, autonomous vehicle simulation, and aerospace engineering applications

Technical specifications

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