The HPE ProLiant DL384 Gen12 AI Server is a 2U accelerated platform for large-scale AI workloads. Supporting NVIDIA Grace Hopper architectures, it delivers high memory bandwidth and performance for generative AI, simulation, and data-intensive applications.
Large-scale AI training and advanced analytics workloads require infrastructure capable of delivering extreme compute throughput while efficiently handling large data pipelines.
The HPE ProLiant DL384 Gen12 is an AI-optimised server designed to support high-performance computing environments. The platform integrates Intel Xeon 6 processors with support for multiple GPU accelerators, enabling organisations to run demanding AI training, modelling, and analytics workloads. Support for modern memory, storage, and I/O keeps application, database, and virtualisation workloads responsive as utilisation rises and data movement increases across the platform.
High-bandwidth memory, PCIe Gen5 expansion, and high-speed NVMe storage allow accelerator hardware, networking, and storage to operate without bottlenecks when processing large datasets. High-bandwidth PCIe lanes, accelerator support, and dense compute packaging allow large models and analytics pipelines to move data quickly between CPUs, GPUs, and storage. Organisations that do not require the highest Gen12 AI server density in this range may also consider the HPE ProLiant DL380a Gen12 AI Server, for right-sizing accelerator infrastructure where maximum GPU density is not required.
High-performance GPU acceleration allows organisations to accelerate AI development pipelines while maintaining enterprise-grade infrastructure reliability and management.
Our specialists can help design and deploy HPE ProLiant DL384 Gen12 infrastructure aligned with AI training and large-scale data analytics environments. It also gives IT teams a more practical platform for planned growth without adding unnecessary management overhead.
The HPE ProLiant DL384 Gen12 AI Server delivers high-performance GPU-accelerated compute designed for large-scale AI, deep learning, and advanced analytics workloads.
GPU-Accelerated Server Platform
Supports multiple GPU accelerators for AI training and inference workloads.
High-Performance Processor Platform
Supports enterprise processors designed for demanding AI workloads.
High-Bandwidth System Architecture
Supports high-speed data movement between CPUs, GPUs, and storage.
Large Memory Capacity
Supports high-capacity memory configurations for AI model processing.
HPE Silicon Root of Trust
Protects server firmware with hardware-based security.
HPE iLO Remote Management
Supports remote monitoring and lifecycle management.
Optimised Cooling Design
Supports thermal requirements of GPU-accelerated workloads.
Whether deploying AI training infrastructure or building GPU-accelerated analytics environments, we help design HPE ProLiant DL384 Gen12 platforms that deliver scalable AI performance.
| Product Family | HPE ProLiant |
|---|---|
| Product Series | DL384 |
| Platform Generation | |
| Deployment | HPC / AI |
| Primary Use Case | High-Performance Compute |
| Product Tier | Specialist |
| Chassis Type | |
| Form Factor | |
| CPU Vendor | |
| Processor Platform | |
| CPU Architecture Class | |
| Maximum CPUs Supported | |
| Memory Type | |
| Maximum Memory Capacity | |
| Memory Slots | |
| Drive Bay Configuration | |
| Maximum Storage Capacity | |
| NVMe Drive Support | |
| Maximum GPUs Supported | |
| PCI Express Slots | |
| PCIe Generation | |
| Embedded Network Ports | |
| Maximum Network Speed | |
| OCP / Network Expansion | |
| Maximum Power Supply (W) | |
| Power Redundancy | Hot-swappable PSUs |
| Remote Management |
The HPE ProLiant DL384 Gen12 AI Server is designed for organisations that need an AI platform built around very large coherent memory, not just more PCIe GPUs. It is best suited to generative AI environments where NVIDIA GH200 NVL2 architecture, unified memory, and high memory bandwidth matter more than the broader GPU-density role of the DL380a Gen12.
The DL384 Gen12 is a strong fit for serving larger language models where model size and context length place pressure on memory as much as accelerator count. It works well where faster response depends on keeping larger models closer to the compute layer.
Retrieval-augmented generation and fine-tuning workflows move large volumes of data between model, memory, and storage. The DL384 Gen12 suits these environments because the GH200 NVL2 design is aimed at memory-intensive AI pipelines rather than general GPU consolidation.
Some AI workloads are limited less by GPU count and more by memory bandwidth and coherent memory access. The DL384 Gen12 is well matched to those deployments where the bottleneck is model size, data movement, or memory-heavy inferencing.
Large simulation, engineering, and research workloads can also benefit when memory movement is a bigger challenge than basic compute density. The DL384 Gen12 fits these environments where technical computing overlaps with AI-class acceleration.
Organisations moving beyond AI pilots often need a platform tailored to larger-model deployment rather than a general accelerated server. The DL384 Gen12 is a practical fit where GenAI, RAG, and large-model inference become part of the core architecture.
Our team can help design and deploy HPE ProLiant DL384 Gen12 infrastructure for large-model inference, RAG, and memory-intensive enterprise AI environments.
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Below you’ll find alternative models, suitable software and services that pair with this solution – helping you to avoid compatibility issues, reduce support overhead and deploy with confidence.
Not all deployments fit standard configurations. If you’re weighing up options or want a second opinion on your setup, our team is here to help with honest, straightforward advice backed by decades of vendor knowledge.
Not sure which model is right for your environment? Our specialists can help you select the right platform for your infrastructure requirements.
