UK’s trusted IT infrastructure partner since 2003
sales@servnetuk.com
0800 987 4111
Servnet
ConfiguratorGet in Touch
DellGPU / AI Servers

Dell PowerEdge XE

Purpose-built AI servers supporting NVIDIA H100, H200, B200, AMD MI300X, and Intel Gaudi3 — from 8-GPU training giants to 2U dense inference nodes. Enterprise-validated for production AI workloads.

← XE Overview|Get a Quote
Dell PowerEdge XE9680 8-way GPU AI server, 6U rack
Dell PowerEdge

PowerEdge XE9680

Dell's flagship 6U, 8-way GPU server supporting NVIDIA H100/H200 SXM5, AMD MI300X, or Intel Gaudi3 — purpose-built for LLM training, inference, and HPC at enterprise scale.

GPUs per Node
1.12TB
GPU Memory
900GB/s
GPU Bandwidth
4TB
System Memory
View Full Specs →
Dell PowerEdge XE9680L liquid-cooled AI server, 4U rack
Dell PowerEdge

PowerEdge XE9680L

Dell's next-generation 4U liquid-cooled AI server supporting NVIDIA B200 (180 GB) or H200 (141 GB) GPUs with NVLink — delivering peak Blackwell performance in a dense, efficient chassis.

B200/H200 GPUs
1.44TB
GPU Memory
45%
Cooling Saving
4U
Form Factor
View Full Specs →
Dell PowerEdge XE9640 4-GPU dense AI server, 2U rack
Dell PowerEdge

PowerEdge XE9640

Dell's densest 2U GPU server — 4× NVIDIA H100/H200 SXM5 GPUs with direct liquid cooling. Delivers up to 2× GPU core density per rack versus standard air-cooled configurations.

H100/H200 GPUs
564GB
GPU Memory
2U
Form Factor
Rack Density
View Full Specs →

XE Server Comparison

SpecXE9680 (Flagship)XE9680L (Blackwell)XE9640 (Dense)
Form Factor6U Air-Cooled4U Liquid-Cooled2U Liquid-Cooled
GPU Count
GPU OptionsH200/H100/MI300X/Gaudi3B200/H200H100/H200 SXM5
Max GPU Memory1.12 TB (8× H200)1.44 TB (8× B200)564 GB (4× H200)
GPU InterconnectNVLink / Infinity FabricNVLink full-meshNVLink full-mesh
System MemoryUp to 4 TB DDR5Up to 4 TB DDR5Up to 4 TB DDR5
PCIe Gen5 Slots10×12×
CoolingAir (to 35°C)Direct LiquidDirect Liquid
Best ForTraining + diverse GPUBlackwell / max perfDense inference

Need Help Choosing the Right XE Server?

Our team can help size GPU memory, NIC bandwidth, and storage capacity for your specific AI workload — LLM training, fine-tuning, inference, or HPC.

Talk to an Expert