HPE vs Dell for AI Inference: ProLiant DL380a Gen12 vs PowerEdge R760xa

For dense, low-latency inference and larger generative models, the HPE DL380a Gen12 leads with up to eight double-wide GPUs, Xeon 6 CPUs, and faster DDR5-6400 memory. The Dell R760xa is the better value when four GPUs in a 2U footprint meet your throughput target. Match the node to your tokens-per-second and concurrency SLAs.

The HPE DL380a Gen12 supports up to eight double-wide accelerators (or up to 16 single-width) in its 4U chassis. The Dell R760xa supports up to four double-wide (or six single-width) in 2U. Higher density per node reduces inter-node latency for large models and cuts the number of servers you operate.

For large language models and RAG, GPU memory capacity and bandwidth often gate whether a model fits and how big a batch you can serve. The DL380a Gen12's support for NVIDIA H200 NVL (141 GB HBM3e) helps host larger models per GPU, while L40S options on either platform suit cost-efficient mid-size inference and vision workloads.

RAG mixes GPU inference with CPU-bound retrieval, embedding, and reranking. The DL380a Gen12's Xeon 6 cores and DDR5-6400 give more host headroom so the GPUs stay fed, which helps high-concurrency RAG. The R760xa is well-suited to right-sized RAG where the GPU budget is fixed and host work is moderate.

Both offer mature out-of-band management, signed firmware, and fleet telemetry. HPE iLO 6 pairs with GreenLake for consumption and visibility; Dell iDRAC9 pairs with OpenManage Enterprise and CloudIQ. The right choice usually follows the management stack your team already runs, so it is largely a tie for inference operations.

Both the HPE ProLiant DL380a Gen12 and Dell PowerEdge R760xa can be configured to be TAA-compliant. As an authorized HPE reseller serving federal, SLED, and healthcare buyers, we can source compliant configurations through GPC, SAP, FAR, and GSA eBuy, and align BOMs to your agency's acquisition requirements.

At low GPU counts, the R760xa's lower entry price and 2U density often win on TCO. As GPU demand scales, the DL380a Gen12 typically lowers cost-per-GPU and node count, reducing rack, networking, and management overhead. Model TCO against your target GPUs per node and projected growth.

Yes. HPE offers a path to turnkey generative AI through HPE Private Cloud AI with NVIDIA AI Enterprise, and Dell offers validated designs through the Dell AI Factory. We can scope either as a complete inference stack with networking, storage, and software, sized to your latency and concurrency goals.