HPE vs Dell for AI Training: Choosing the Right GPU Server Platform

Neither is universally better because both use the same NVIDIA HGX GPU baseboards, so per-node training throughput is comparable. HPE edges ahead for organizations scaling toward supercomputer-class clusters and direct liquid cooling, while Dell appeals to shops wanting the broadest single-node GPU matrix and mature fleet management. The right choice usually hinges on cooling, cluster scale and your existing vendor relationship.

The HPE ProLiant Compute XD685 supports eight NVIDIA H200, Blackwell B200, or Blackwell Ultra B300 HGX GPUs, or eight AMD Instinct MI325X/MI355X accelerators. Dell's PowerEdge XE9680 supports eight H100, H200 or AMD MI300X, and the XE9685L adds eight NVIDIA B200 GPUs. Both connect GPUs over NVIDIA NVLink/NVSwitch.

Dell offers the PowerEdge XE9712, a GB200 NVL72 rack-scale system pairing 36 Grace CPUs with 72 Blackwell GPUs in a single NVLink domain for trillion-parameter LLM training and inference. HPE delivers GB200 NVL72-class capability through its Cray rack-scale systems and HPE Private Cloud AI, with Slingshot interconnect available for HPC-style fabrics.

For fine-tuning, a single 8-GPU node such as the XD685 or XE9680/XE9685L with H200 or B200 GPUs is typically enough, and either vendor works well. For full foundation-model pretraining across many nodes, fabric and rack-scale design matter more, which favors HPE's Slingshot/Cray continuity or Dell's GB200 NVL72 XE9712 depending on scale.

Dense 8-GPU nodes with H200 or Blackwell accelerators push thermal and power limits, so direct liquid cooling (DLC) is increasingly standard. HPE offers DLC across both the ProLiant Compute XD and Cray lines with strong HPC liquid-cooling engineering, and Dell offers liquid-cooled XE variants like the XE9685L. Validate facility power and cooling capacity before committing to a node count.

Yes. As an authorized reseller we can source both HPE ProLiant Compute XD / Cray XD and Dell PowerEdge XE GPU servers in TAA-compliant configurations through federal vehicles such as GPC, SAP, FAR, and GSA eBuy, and support SLED and healthcare procurement. We can quote the specific accelerator, fabric and cooling configuration your program requires.

Yes. Both HPE and Dell are NVIDIA partners and support NVIDIA AI Enterprise. HPE packages a turnkey stack as HPE Private Cloud AI, co-engineered with NVIDIA, while Dell delivers validated designs through the Dell AI Factory. Both shorten time-to-value versus assembling the GenAI software stack yourself.

Yes. The HPE ProLiant Compute XD685 supports eight AMD Instinct MI325X/MI355X accelerators with ROCm, and Dell's PowerEdge XE9680 supports eight AMD Instinct MI300X. AMD paths can ease NVIDIA supply or licensing constraints, though you should confirm framework and model support for your training workloads.