The Dell PowerEdge XE9680L is a top-tier, high-density AI training and inference server distinguished by its shift to a compact 4U liquid-cooled chassis to support the most powerful NVIDIA HGX GPU platforms.

Full Technical Specifications

Component	Specification
Form Factor	4U Rack Server (Reduced size vs. the 6U XE9680)
Cooling	Direct Liquid Cooling (DLC) for CPUs, GPUs, and interconnects
Processor	Dual 5th Generation Intel® Xeon® Scalable Processors
Accelerators (GPU Options)	Up to 8x NVIDIA HGX GPUs (SXM platform), including: • NVIDIA HGX H200 (141GB) • NVIDIA HGX B200 (Blackwell) (Focus is on HGX/SXM modules, not PCIe cards)
GPU Interconnect	Full interconnection with NVIDIA NVLink and NVSwitch technology
Memory	DDR5 DIMM slots (likely 32 slots with high capacity/speed, similar to XE9680)
Storage	High-speed, high-density storage options (e.g., NVMe SSDs, EDSFF)
Networking	Advanced, high-throughput networking (e.g., NVIDIA InfiniBand/Ethernet)
Management	Integrated Dell Remote Access Controller (iDRAC)
Workloads	Extreme AI Training, Large-Scale Inferencing, High-Performance Computing (HPC)

Description

The Dell PowerEdge XE9680L is Dell's premium, uncompromising accelerator platform designed for the most demanding AI training and large-scale inference workloads. It represents a critical evolution from the previous generation by embracing a 4U form factor combined with Direct Liquid Cooling (DLC).

This liquid-cooled architecture allows the server to harness up to eight NVIDIA HGX (SXM-based) GPUs (such as the NVIDIA HGX H200 or B200) within a highly dense 4U chassis. The DLC solution effectively manages the extreme thermal output of these powerful GPUs and their high-speed NVLink interconnects, enabling sustained, maximum performance essential for training massive Large Language Models (LLMs) and running complex simulations.

Powered by dual 5th Generation Intel Xeon Scalable processors, the XE9680L is purpose-built to deliver the highest possible compute density and application performance, making it the foundational block for an "AI Factory" infrastructure in modern data centers