The Dell PowerEdge XE9680 AI GPU Server is Dell’s flagship AI platform, purpose-built to support the most demanding GPU-accelerated workloads. This configuration features 8× NVIDIA HGX H100 80GB SXM GPUs, delivering exceptional performance for large language models (LLMs), generative AI, scientific computing, and high-performance computing environments.
This listing represents a distinct variant of the XE9680 that includes an upgraded 400GB networking add-on, replacing the standard networking configuration with 8× 400GB ConnectX-7 adapters. This enhancement is designed for customers building multi-node AI clusters, where ultra-low latency and extreme bandwidth are critical for scaling performance across nodes.
With enterprise-class reliability, redundant power, advanced cooling architecture, and Dell PowerEdge build quality, the XE9680 with 400GB networking is ideal for data centers, research institutions, and cloud providers running mission-critical AI workloads.
Product Specification For Dell PowerEdge XE9680 AI GPU Server – 8 NVIDIA HGX H100 80GB SXM
CLICK HERE FOR DATA SHEET
| Specification |
Details |
| Brand |
Dell |
| Product Line |
PowerEdge |
| Model |
XE9680 |
| Server Category |
AI / GPU Server |
| Form Factor |
Rackmount |
| GPU Configuration |
8 × NVIDIA HGX H100 SXM |
| GPU Memory |
80GB HBM3 per GPU |
| Total GPU Memory |
640GB |
| GPU Architecture |
NVIDIA Hopper |
| GPU Interconnect |
NVLink & NVSwitch |
| Networking (Add-on) |
8x 400GB ConnectX-7 |
| Networking Interface |
2× Broadcom 5720 Dual-Port 1GbE |
| Networking Bandwidth |
400GB |
| CPU Support |
Dual-socket processors (platform configurable) |
| System Memory |
DDR5 memory (capacity configurable) |
| Storage Support |
NVMe / SSD storage (configurable) |
| Expansion Slots |
PCIe expansion (platform dependent) |
| Power Supply |
Redundant power supplies |
| Cooling |
High-performance enterprise cooling |
| Management |
Enterprise out-of-band management |
| Deployment |
Data center, cloud, AI cluster environments |
| Primary Workloads |
AI, ML, LLM training, HPC |
AI, ML & HPC Use Cases
Ideal For:
-
Large Language Model (LLM) Training
-
Generative AI & Multimodal AI
-
Distributed AI & GPU Clusters
-
Deep Learning & Machine Learning
-
High-Performance Computing (HPC)
-
AI Inference at Scale
-
Data Analytics & Big Data Processing
-
Research & Academic Computing
-
Enterprise AI & Cloud Service Providers
FAQs (Frequently Asked Questions)
1: What workloads is this server designed for?
This server is designed for AI training, machine learning, large language models (LLMs), high-performance computing (HPC), and GPU cluster deployments.
2: What does 400GB networking mean in this configuration?
400GB networking refers to high-bandwidth network connectivity that enables fast, low-latency data transfer for distributed and multi-node workloads.
3: Is this server suitable for multi-node AI clusters?
Yes. The high-bandwidth networking is well suited for large-scale, distributed AI and HPC environments.
4: Can CPU, memory, and storage configurations be customized?
Yes. CPU, system memory, and storage options are configurable based on deployment requirements and availability.
5: Does the networking support InfiniBand?
Yes. The networking hardware is InfiniBand-ready, depending on fabric design and transceiver configuration.
