Dell PowerEdge XE9680 AI GPU Server – 8× NVIDIA HGX H100 80GB SXM – 400GB Networking
Dell PowerEdge XE9680 AI GPU Server with 400GB Networking
8× NVIDIA HGX H100 80GB SXM Platform for Large-Scale AI & HPC
Note: This product is export restricted and may not be relocated or transferred without compliance with all applicable regulations.
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
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| 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:
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Large Language Model (LLM) Training
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Generative AI & Multimodal AI
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Distributed AI & GPU Clusters
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Deep Learning & Machine Learning
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High-Performance Computing (HPC)
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AI Inference at Scale
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Data Analytics & Big Data Processing
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Research & Academic Computing
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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.
