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HPE ProLiant Compute XD685 vs Dell PowerEdge XE9680: 8-GPU AI Training Server Comparison

For enterprises and agencies building on-prem LLM training and fine-tuning clusters, the HPE ProLiant Compute XD685 and Dell PowerEdge XE9680 are the two leading 8-GPU nodes. Both deliver eight fully NVLink-interconnected accelerators, but they diverge sharply on CPU platform, cooling strategy, and how each scales into a rack-scale AI factory. This comparison breaks down where each 8-GPU server wins for H200 and Blackwell-class training workloads.

The short answer

The HPE ProLiant Compute XD685 is the stronger choice for greenfield AI training pods that will run NVIDIA Blackwell (B200/B300) or AMD MI355X at scale, thanks to its direct-liquid-cooling-first 5U design, AMD EPYC 9005 memory bandwidth, and tight integration with HPE's AI factory and GreenLake stack. The Dell PowerEdge XE9680 wins where teams want an air-cooled 6U node that drops into existing data centers today, the broadest accelerator menu (NVIDIA H100/H200, AMD MI300X, Intel Gaudi 3), and Dell's mature AI Factory ecosystem. Choose HPE for liquid-cooled Blackwell density and Cray-lineage cluster pedigree; choose Dell for air-cooled flexibility and immediate deployability.

HPE ProLiant Compute XD685 vs Dell PowerEdge XE9680, head to head

HPE ProLiant Compute XD685
Dell PowerEdge XE9680
Performance
Dual EPYC 9005 (up to 96 cores/socket) feeds 8x H200/B200/B300; DLC enables higher sustained GPU clocks
Dual Intel Xeon 4th/5th Gen feeds 8x H100/H200/MI300X/Gaudi 3 with strong air-cooled throughput
Scalability
DLC 5U design targets dense 8-node-per-rack AI pods; scales via HPE rack-scale AI factoryadvantage
6U air-cooled scales into Dell AI Factory racks; XE9680L 4U DLC variant for Blackwell density
Management & AIOps
HPE iLO 6, HPE Compute Ops Management and GreenLake cloud telemetry
Dell iDRAC9 with OpenManage Enterprise and APEX AIOps
Security
Silicon Root of Trust, secure boot, FIPS-validated cryptography options
Cyber Resilient Architecture, silicon root of trust, secured component verification
Ecosystem / lock-in
NVIDIA + AMD Instinct choice; AMD EPYC platform; HPE AI software and Cray lineage
Widest accelerator menu (NVIDIA, AMD, Intel Gaudi); Intel Xeon; deep VMware/NVIDIA AI Enterprise integrationadvantage
Support
HPE Pointnext and Complete Care with AI cluster deployment services
Dell ProSupport Plus and ProDeploy with AI Factory professional services
Price / value
Competitive on liquid-cooled Blackwell pods and power-per-token efficiency
Strong value for air-cooled H200 nodes deployable without facility retrofits
Federal / TAA
Available on federal contract vehicles; TAA-compliant configurations sourceable
Available on federal contract vehicles; TAA-compliant configurations sourceable

Specifications side by side

HPE ProLiant Compute XD685
Dell PowerEdge XE9680
Form factor
5U (direct liquid cooling) or 6U (air-cooled)
6U air-cooled (XE9680L is 4U DLC)
CPU
2x AMD EPYC 9005 Series (Turin), up to 96 cores/socket
2x Intel Xeon Scalable (4th/5th Gen)
GPU options
8x NVIDIA H200, B200, or B300 (Blackwell Ultra); 8x AMD Instinct MI325X/MI355X
8x NVIDIA H100 or H200; 8x AMD Instinct MI300X; 8x Intel Gaudi 3
GPU interconnect
NVIDIA NVLink/NVSwitch (HGX) or AMD Infinity Fabric (OAM)
NVIDIA NVLink/NVSwitch (HGX) or AMD Infinity Fabric (OAM)
Memory
24x DDR5-6400 RDIMM, 12 channels per CPU
32x DDR5 DIMM slots, up to 4 TB (5600 MT/s on 5th Gen Xeon)
Cooling
DLC for all GPU options; air-cooling available for H200
Air-cooled (XE9680); DLC via XE9680L variant
Local storage
Multiple NVMe SSD bays (configuration dependent)
Up to 8x 2.5-inch NVMe/SAS/SATA or 16x E3.S NVMe
Networking
High-speed NICs / DPUs for back-end RoCE/InfiniBand fabrics
NVIDIA ConnectX / BlueField for InfiniBand or RoCE back-end fabrics
Power supplies
Redundant high-wattage PSUs (configuration dependent)
Six PSUs, up to 19,200W, 3+3 fault-tolerant redundant
Primary use
Large-scale AI model training and fine-tuning
AI training, fine-tuning, and HPC acceleration
Management
HPE iLO 6, Compute Ops Management, GreenLake
Dell iDRAC9, OpenManage Enterprise

Where HPE ProLiant Compute XD685 wins

  • Direct-liquid-cooling-first 5U design built for dense 8-node-per-rack Blackwell AI pods
  • Dual AMD EPYC 9005 (up to 96 cores/socket) with high DDR5-6400 memory bandwidth to feed GPUs
  • Forward-looking GPU menu including NVIDIA B200/B300 (Blackwell Ultra) and AMD MI355X
  • Cray supercomputing lineage and HPE rack-scale AI factory integration
  • HPE GreenLake consumption options and Compute Ops Management telemetry

Where Dell PowerEdge XE9680 wins

  • Air-cooled 6U node deploys into existing data centers without facility liquid-cooling retrofits
  • Broadest accelerator choice: NVIDIA H100/H200, AMD MI300X, and Intel Gaudi 3
  • Up to 4 TB DDR5 across 32 DIMM slots for memory-hungry data pipelines
  • Mature Dell AI Factory ecosystem with ProDeploy and NVIDIA AI Enterprise
  • Companion XE9680L 4U DLC variant available for liquid-cooled Blackwell density

Which one should you buy?

Greenfield AI training pod standing up liquid cooling for Blackwell GPUs

Pick HPE ProLiant Compute XD685. Its DLC-first 5U design and B200/B300 support are purpose-built for dense, power-efficient Blackwell training racks.

Enterprise needs 8-GPU H200 nodes deployable now in an air-cooled hall

Pick Dell PowerEdge XE9680. The 6U air-cooled chassis drops into existing data centers without a liquid-cooling retrofit, shortening time to first training run.

Team standardizing on AMD Instinct accelerators for cost-per-token efficiency

Pick HPE ProLiant Compute XD685. It pairs AMD EPYC 9005 CPUs with current AMD Instinct MI325X/MI355X OAM accelerators in a tuned platform.

Shop wanting accelerator flexibility including Intel Gaudi 3 or AMD MI300X

Pick Dell PowerEdge XE9680. The XE9680 supports the widest accelerator menu, letting buyers benchmark NVIDIA, AMD, and Intel options on one platform.

Federal or research HPC program valuing supercomputing-grade cluster integration

Pick HPE ProLiant Compute XD685. HPE's Cray lineage and rack-scale AI factory tooling streamline large GPU cluster builds and lifecycle support.

Frequently asked

What is the main difference between the HPE ProLiant Compute XD685 and Dell PowerEdge XE9680?

Both are 8-GPU AI training servers with fully NVLink-interconnected accelerators. The XD685 uses dual AMD EPYC 9005 CPUs and a direct-liquid-cooling-first 5U design that also supports NVIDIA Blackwell (B200/B300). The XE9680 uses dual Intel Xeon CPUs in a 6U air-cooled chassis with the broadest accelerator menu, while its XE9680L sibling adds 4U liquid-cooled Blackwell density.

Which 8-GPU server supports NVIDIA Blackwell GPUs?

The HPE ProLiant Compute XD685 supports eight NVIDIA B200 and B300 (Blackwell Ultra) GPUs directly, alongside H200 and AMD MI355X. Dell delivers Blackwell HGX B200 primarily through the liquid-cooled PowerEdge XE9680L variant rather than the air-cooled XE9680, which centers on H100, H200, MI300X, and Intel Gaudi 3.

Do these AI training servers require liquid cooling?

Not necessarily. The XD685 is designed liquid-cooling-first but offers air-cooling for NVIDIA H200 configurations, while the Dell XE9680 is an air-cooled 6U node. For Blackwell-class GPUs, both vendors lean on direct liquid cooling, the XD685 in its 5U DLC chassis and Dell via the XE9680L.

Which server is better for large language model training?

For new Blackwell-based training pods that can adopt liquid cooling, the XD685 offers high density and AMD EPYC memory bandwidth to keep GPUs fed. For teams that need H200 training nodes running in an existing air-cooled facility today, the XE9680 gets a cluster online faster. The right pick depends on cooling readiness and accelerator roadmap.

What CPUs do the XD685 and XE9680 use?

The HPE ProLiant Compute XD685 uses two AMD EPYC 9005 Series processors (Turin) with up to 96 cores per socket and 12 DDR5 channels per CPU. The Dell PowerEdge XE9680 uses two 4th or 5th Generation Intel Xeon Scalable processors across 32 DDR5 DIMM slots, supporting up to 4 TB of memory.

How do these servers fit into a rack-scale AI cluster?

Both connect to high-speed back-end fabrics (InfiniBand or RoCE Ethernet) for multi-node training. HPE integrates the XD685 into its rack-scale AI factory and Cray-lineage cluster tooling, and Dell integrates the XE9680 into its AI Factory reference architectures with NVIDIA AI Enterprise. Cluster networking, storage, and scheduler choices typically matter more than the node itself at scale.

Are these GPU servers available on federal and SLED contract vehicles?

Yes. As an authorized HPE reseller we can source TAA-compliant HPE ProLiant Compute XD685 configurations through federal vehicles such as GPC, SAP, FAR, and GSA eBuy, and we can also quote Dell PowerEdge XE9680 systems. We help federal, SLED, healthcare, and enterprise buyers match configurations, lead times, and compliance requirements to the right contract.

Which is easier to deploy in an existing data center?

The air-cooled Dell PowerEdge XE9680 is generally easier to deploy where there is no facility liquid-cooling loop, since it relies on standard air cooling in a 6U chassis. The XD685 can also be air-cooled with H200 GPUs, but its strongest configurations and Blackwell options assume direct liquid cooling, which may require facility upgrades.

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Send us the requirement, the project, or an existing quote to beat. We come back with a validated, TAA-compliant HPE configuration and a real price, often below list.

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