Dell PowerEdge XE9680 with 8× NVIDIA H200 GPUs: Special Offer
- 11 minutes ago
- 4 min read
The Dell PowerEdge XE9680 offered here is a 6U enterprise AI server configured with 8× NVIDIA H200 141GB SXM GPUs, dual Intel Xeon Platinum 8462Y+, and 2TB DDR5 memory. This is a fixed, validated configuration available as a refurbished, fully tested, deployment-ready system.
Dell XE9680 with 8× NVIDIA H200
Limited stock at special pricing
Configuration Overview: Dell PowerEdge XE9680 with 8× NVIDIA H200 SXM
This Dell PowerEdge XE9680 configuration is built around an 8-GPU NVIDIA HGX H200 141GB SXM platform fully interconnected with NVIDIA NVLink, designed for sustained AI training, distributed workloads, and GPU-accelerated HPC.
It is designed for:
Sustained multi-GPU AI training
Distributed model parallelism and data parallelism
Multi-node cluster scaling using high-speed fabric
The servers offered are based on a fixed, fully supported configuration selected for stability, compatibility, and real-world deployment. Component choices reflect validated enterprise configurations rather than theoretical maximum-spec builds.
Full Configuration: Dell PowerEdge XE9680 with 8× NVIDIA H200 GPUs
Base System: Dell PowerEdge XE9680 6U Rack Server
Component | Details | Why it matters |
Server / Chassis | Dell PowerEdge XE9680 (6U) | Purpose-built enterprise AI platform |
Front Bays | 8× SFF NVMe | High-density local NVMe storage |
Bay Config | 2XR8X04 | Validated NVMe backplane configuration |
PCIe | Up to 10× PCIe Gen5 x16 slots | High-bandwidth expansion for networking and accelerators |
GPUs: 8× NVIDIA HGX H200 141GB SXM
Component | Details | Why it matters |
GPUs | 8× NVIDIA HGX H200 141GB SXM | High-performance AI training acceleration |
GPU Memory | 141GB HBM3e per GPU | Supports larger models and higher inference throughput |
Interconnect | NVIDIA NVLink (HGX fully interconnected topology) | High-bandwidth GPU-to-GPU communication |
Each GPU supports up to ~700W TDP. The HGX SXM architecture enables:
Direct NVLink connectivity between GPUs
Reduced scaling overhead in multi-GPU training
Efficient collective communication operations
This platform is optimized for large transformer and foundation model workloads.
CPUs: 2× Intel Xeon Platinum 8462Y+
Component | Details | Why it matters |
CPUs | 2× Intel Xeon Platinum 8462Y+ | Host compute and orchestration |
Base Frequency | 2.8 GHz | Sustained compute baseline |
Max Turbo Frequency | Up to 4.1 GHz | Higher performance for burst workloads |
CPUs handle:
Data ingestion and preprocessing
Job scheduling and orchestration
Storage and network coordination
In AI systems of this class, GPUs deliver primary compute while CPUs maintain pipeline efficiency.
Memory: 2048GB DDR5 (32× 64GB PC5-4800)
Component | Details | Why it matters |
Installed Memory | 2048GB (32× 64GB) | Supports large dataset handling |
DIMM Rating | PC5-4800 (DDR5-4800 DIMMs) | Manufacturer-rated speed |
Operating Speed | 4400 MT/s (2 DIMMs per channel) | Actual supported speed in this configuration |
Because this system uses 32 DIMMs across two sockets (2 DIMMs per channel), memory operates at 4400 MT/s according to Intel and Dell specifications for 4th Gen Xeon Scalable processors. This configuration provides high memory capacity while maintaining validated platform stability.
Storage: 2× 7.68TB NVMe U.2 Gen4 SSDs
Component | Details | Why it matters |
Installed Drives | 2× 7.68TB NVMe Gen4 2.5" | High-throughput data staging |
Chassis Capability | 8× SFF NVMe bays | Expansion-ready storage density |
RAID Support | PERC H965i supported | Enterprise RAID options available |
With 8 NVMe bays, the system can support significantly larger storage capacity (for example up to ~122TB using 8× 15.36TB drives).
Local NVMe storage is commonly used for:
Dataset staging
Checkpoints
Scratch space
High-speed caching
Networking: 8× Mellanox MT2910 (ConnectX-7)
Component | Details | Why it matters |
High-Speed Adapters | 8× Mellanox MT2910 (ConnectX-7) | Cluster-scale communication |
Protocol Support | InfiniBand / Ethernet | Flexible cluster fabric options |
Port Speeds | Up to 400Gb/s per adapter | High-bandwidth distributed training |
Onboard Ethernet | 2× Broadcom 5720 Dual Port 1GbE | Management networking |
ConnectX-7 adapters are commonly deployed in modern AI clusters to support:
Distributed training
RDMA
Low-latency node-to-node communication
Management
Component | Details | Why it matters |
Remote Management | iDRAC 9 Enterprise (reset to defaults) | Out-of-band monitoring and lifecycle management |
Supports remote console access, firmware updates, and power control.
Power & Cooling
Component | Details | Why it matters |
Power Supplies | 6× 2800W PSU | Supports sustained high GPU load |
Cooling | High-performance air cooling (mid-tray + rear fan modules) | Designed for high-TDP GPU operation |
Estimated Power Draw | ~8–10kW under load | Datacenter provisioning requirement |
8× NVIDIA H200 SXM GPUs (up to ~700W each) plus CPUs and networking require appropriate datacenter-grade power and cooling infrastructure.
Platform Overview: Dell PowerEdge XE9680 with 8× NVIDIA H200
The Dell PowerEdge XE9680 is engineered for AI infrastructure environments where:
GPU density
Thermal management
High-speed networking
Remote lifecycle control
are required for sustained production workloads.
Use Cases: Dell PowerEdge XE9680 with 8× NVIDIA H200 GPUs
Large language model training
Foundation model development
Multi-node distributed AI training
HPC simulation workloads
Research and scientific computing
Testing, Condition, and Warranty: Dell PowerEdge XE9680 with 8× NVIDIA H200 GPUs
Condition:
Refurbished, fully tested.
Testing includes:
CPU, memory, and GPU validation
Storage and NVMe verification
Network adapter testing
Stability verification under load
Warranty:
3-Year hardware warranty included
Fully tested and validated prior to delivery
Deployment-ready system configuration
Extended support options are available upon request.
Custom service agreements can be arranged if required.
This Dell PowerEdge XE9680 configuration is a purpose-built AI infrastructure node designed for organizations that require dense multi-GPU compute, sustained AI training performance, high-bandwidth cluster networking, and datacenter-grade power and cooling for modern GPU clusters.
Dell XE9680 with 8× NVIDIA H200
Limited stock at special pricing
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