HPE GPU Systems
HPE accelerator platforms for AI training, inference, and accelerated computing.
We help you choose, configure, and deliver the right system. No obligation.
Configuration at a Glance
Tailored per engagement. Full technical overview below.
Configuration Options
Core specifications for this system. Every component is configurable to your workload, so request a quote for a tailored build.
Data-center GPUs (training / inference)
2x 4th or 5th Gen Intel Xeon Scalable processors, up to 64 cores at 350W
Up to 3TB DDR5 via 24 DIMMs, up to 5600 MT/s
Overview
HPE GPU Systems cover HPE's accelerator-optimized servers for organizations scaling GPU compute on the HPE platform. Nexus Compute specifies and sources the right HPE GPU systems for your training or inference workloads, with HPE management and support throughout.
Who This Solution Is For
Business Benefits
GPU compute on HPE
Add accelerated computing while keeping HPE management and support consistency.
Training and inference
Configurations span both model training and production inference workloads.
Unified operations
iLO and OneView extend familiar operations to GPU infrastructure.
Workload-matched specification
We select GPU type and node count for your AI workload.
Typical Business Use Cases
GPU-accelerated AI training on HPE
Production inference on HPE platforms
Accelerated HPC and analytics
Scaling GPU capacity within an HPE estate
Industry Applications
Technical Overview
HPE accelerator-optimized servers supporting multiple data-center GPUs with appropriate power and cooling, high-speed networking, HPE storage integration, and iLO/OneView management. Specified to your GPU workload and scale.
| Platforms | HPE GPU-optimized servers |
| GPU Options | Data-center GPUs (training / inference) |
| Scale | Single-node to multi-node |
| Networking | High-speed Ethernet / InfiniBand |
| Management | iLO + OneView |
| Support | HPE support |
| Engagement | Specification, sourcing, delivery |
| Representative Model | HPE ProLiant DL380a Gen11 (2U, 2-socket GPU-accelerated rack server) |
| GPU Support (DL380a Gen11) | Up to 8x single-wide NVIDIA L4, or 4x double-wide NVIDIA L40S / H100 NVL |
| GPU Interconnect | NVIDIA 2-way NVLink Bridge (connects two adjacent GPUs) |
| CPU (DL380a Gen11) | 2x 4th or 5th Gen Intel Xeon Scalable processors, up to 64 cores at 350W |
| Memory (DL380a Gen11) | Up to 3TB DDR5 via 24 DIMMs, up to 5600 MT/s |
| Power Architecture | Three independent power domains, including two dedicated GPU domains with six power supplies each |
Specifications are indicative and configured to each engagement. Request a quote for a configuration tailored to your requirements.
Warranty, Support & Fulfillment
Every system ships from an authorized channel, configured and tested, with the documentation enterprise buyers need: genuine product, backed by the full manufacturer warranty.
Enterprise Warranty
Full manufacturer warranty with optional on-site, next-business-day support and extended coverage.
Authorized Channel
Sourced through Tier-1 distribution and OEM partners (never grey market). Asset & warranty records included.
Lead Time & Deployment
48-hour quotes, then configured, burn-in tested, and delivered on a committed schedule.
Nationwide Fulfillment
Coordinated logistics, rack-and-stack, and delivery wherever your infrastructure lives.
Frequently Asked Questions
Which GPUs do HPE systems support?
A range of current data-center GPUs, subject to allocation. We confirm supported options and timelines in your quote.
Can we scale to multiple nodes?
Yes. We design networking that supports growth from single-node to multi-node GPU configurations.
How does this compare to a dedicated GPU server?
For HPE-standardized organizations valuing unified support, HPE GPU Systems are ideal. For maximum GPU density, our GPU Server line may fit better. We advise on the trade-off.
Hardware Assistance
Configure the HPE GPU Systems with Nexus Compute
Tell us your requirements and a hardware specialist will help you specify, configure, and quote the right system, typically within two business days. No obligation.