HPE AI & GPU Servers

Many enterprises deploying AI need on-premises infrastructure to maintain data sovereignty and control sustained workload costs. HPE AI & GPU Servers provide this – spanning the Cray XD series for training and fine-tuning large models, and the ProLiant AI range for inference, retrieval-augmented generation, and memory-intensive applications.

Both lines run on-premises in standard data centre environments, keeping workloads and data under the organisation’s own control.

HPE AI & GPU Server Quick Specs & Key Features

Workload Coverage: Validated for generative AI inference, LLM fine-tuning, retrieval-augmented generation (RAG), agentic AI, and physical AI applications including robotics and industrial automation.
GPU Flexibility: Supports a range of NVIDIA GPU architectures suited to both model training and inference workloads, with configurations scalable to the demands of the deployment.
Enterprise Security: Built on HPE’s silicon-rooted security architecture with post-quantum cryptography readiness and support for FIPS 140-3 Level 3 certification — meeting the compliance requirements of regulated industries.

Memory & Bandwidth: High-capacity DDR5 ECC memory across the range, with coherent CPU-GPU memory options on applicable platforms — reducing bottlenecks on memory-intensive AI tasks.
Cooling Options: Air-cooled and direct liquid-cooled configurations available, supporting standard data centre racks and high-density GPU environments.
Management: HPE Compute Ops Management provides remote monitoring, automated maintenance, and GPU infrastructure oversight across distributed deployments.

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Find your ideal HPE AI & GPU Server

Full technical specifications are available on each product page.

Model	Popularity	Deployment	Primary Use Case	Form Factor	CPU Vendor	Processor Platform	Maximum CPUs Supported	Maximum Memory Capacity	Memory Slots	Maximum GPUs Supported
HPE ProLiant DL380a Gen12 AI Server	★ ★ ★	HPC / AI	AI / GPU Compute	4U	Intel	Xeon Scalable 6th Gen	2	8 TB	32	10	View
HPE ProLiant DL380a Gen11 AI Server	★ ★ ★	HPC / AI	AI / GPU Compute	4U	Intel	Xeon Scalable 4th Gen	2	8 TB	32	10	View
HPE Cray XD6500 AI Server	★ ★ ★	HPC / AI	AI / GPU Compute	5U	Intel	Xeon Scalable 4th Gen	2	6 TB	32	8	View
HPE Cray XD670 AI Server	★ ★ ★	HPC / AI	AI / GPU Compute	5U	Intel	Xeon Scalable 4th Gen	2	6 TB	32	8	View
HPE ProLiant DL384 Gen12 AI Server	★ ★ ★	HPC / AI	High-Performance Compute	2U	NVIDIA	Grace Hopper GH200	2	960 GB	0	0	View

HPE AI & GPU Server Deployment Scenarios and Industries

Financial Services

Banks and financial institutions running fraud detection, risk modelling, and AI-assisted decision-making need fast inference on sensitive data that cannot leave the organisation. On-premises HPE GPU servers support financial services AI inference with the memory capacity these workloads demand — without routing data through external compute.

Healthcare & Life Sciences

Medical imaging analysis, diagnostic AI, and biomedical research generate data that must stay within the organisation for regulatory and compliance reasons. On-premises GPU servers keep patient data and model outputs on-site, with memory configurations that support the large model sizes common in clinical and research applications.

Manufacturing & Industrial

Production environments running automated quality control, predictive maintenance, and robotics require AI inference that responds in real time. HPE AI servers support validated NVIDIA AI Enterprise configurations for physical AI and industrial automation, processing visual and sensor data locally rather than sending it off-site for analysis.

Energy & Utilities

Operators managing power grids, pipelines, and critical infrastructure use AI to detect anomalies and predict equipment failures before they cause disruption. Operational technology data in these environments is sensitive and often cannot leave site — on-premises GPU compute keeps AI workloads within the operator’s own infrastructure.

Media & Entertainment

Studios and production teams running rendering, simulation, digital twins, and visual computing workloads need high GPU density on infrastructure they control. HPE AI servers support visual computing at scale — including 3D rendering, Omniverse-based simulation, and AI-assisted content production — across a range of NVIDIA GPU configurations.

HPE AI & GPU Server Management and Licensing Options

HPE iLO

iLO provides full remote control — console access, power management, firmware updates, and hardware health monitoring — independent of the server OS. The Advanced licence adds fleet-wide group management, KVM console, 2FA, and directory integration, reducing travel costs and unplanned downtime.

Ask us about HPE iLO

HPE OneView

Replace fragmented tools with a single interface across HPE servers, storage, and networking. Template-driven provisioning cuts deployment time from hours to minutes, firmware compliance dashboards surface critical updates at scale, and full API access integrates with your existing DevOps and automation frameworks.

Ask us about HPE OneView

HPE InfoSight

Move from reactive support to proactive infrastructure management. InfoSight’s AI analyses data from over 150,000 systems globally, predicting and auto-resolving 86% of issues before they impact your environment. Organisations report 73% fewer support tickets and 85% less time spent resolving issues.

Ask us about HPE InfoSight

HPE Ezmeral

Run AI, ML, and analytics workloads across on-premises, hybrid, and edge environments without rebuilding your infrastructure. Ezmeral’s enterprise Kubernetes platform supports cloud-native and legacy applications with unified data management, multi-tenant security, and self-service provisioning.

Ask us about HPE Ezmeral

As an authorised HPE partner, we’re here to help your organisation select, configure, and manage the right combination of platforms and services to efficiently scale and support your new solution long-term. Contact our HPE specialists for guidance today.

Shop All HPE AI & GPU Server Models

Browse our full range below, or contact our team for tailored configuration advice.

HPE Cray XD6500 AI Server
£55,000.00 Ex. VAT
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HPE Cray XD670 AI Server
£65,000.00 Ex. VAT
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HPE ProLiant DL380a Gen11 AI Server
Price range: £4,500.00 through £6,750.00 Ex. VAT
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HPE ProLiant DL380a Gen12 AI Server
Price range: £4,090.91 through £4,950.00 Ex. VAT
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View models This product has multiple variants. The options may be chosen on the product page
HPE ProLiant DL384 Gen12 AI Server
Price range: £25,000.00 through £27,500.00 Ex. VAT
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View models This product has multiple variants. The options may be chosen on the product page

Designing & Supporting HPE AI & GPU Server Solutions

Backed by decades of expertise in the IT sector, our specialists support every stage of your deployment — from initial selection through to long-term lifecycle management.

Tailored Server Selection: Our specialists assess your specific environment from the outset — rack space, power budget, thermal constraints, connectivity requirements, and compliance considerations all factored into our recommendation. You get the right server for your sites, not a data centre model shoehorned into an edge deployment.
Deployment & Integration: Our engineers handle end-to-end server installation and stack integration — networking, storage, IoT devices, and existing infrastructure — configured and tested by us so your team can focus on operations from day one.
Rugged & Remote Environments: Our team has proven experience deploying and commissioning servers in physically demanding locations — industrial facilities, outdoor enclosures, mobile platforms, and sites without permanent IT presence. We configure and secure edge servers to perform reliably where standard deployments would fail.

AI & IoT Enablement: Our consultants provide practical guidance on GPU-accelerated server configurations, real-time inferencing workloads, and IoT data ingestion — helping your team move from raw data collection to actionable operational insight without building the server architecture from scratch.
Lifecycle Support & Services: We provide proactive server monitoring, firmware management, and support packages built around edge infrastructure — with our remote resolution capability and response times matched to the criticality of your deployments.
Strategy Roadmapping: Our consultants run structured sessions to assess your workload requirements, evaluate server platforms, and build a clear deployment roadmap — whether you’re commissioning your first edge server or scaling an existing distributed estate.

HPE AI & GPU Server FAQ

What is the difference between HPE Cray XD and HPE ProLiant AI servers?

HPE AI & GPU Servers span two distinct product lines for different requirements. The Cray XD series is designed for organisations building, training, or fine-tuning large AI models from scratch. HPE ProLiant AI servers are designed for organisations running inference and AI applications against existing models. Most enterprises fall into the ProLiant category; the Cray XD range is relevant where model development is happening in-house.

Why run AI workloads on HPE AI & GPU Servers rather than in the cloud?

Cloud GPU compute suits short-term or variable workloads, but organisations running AI continuously at scale often find dedicated on-premises infrastructure more cost-effective over time. HPE AI & GPU Servers keep training data, model weights, and inference outputs within the organisation’s own environment — which is a hard requirement in regulated industries where data cannot leave the site or jurisdiction.

What NVIDIA GPU options are available on HPE AI & GPU Servers?

HPE AI & GPU Servers support a range of NVIDIA GPU architectures across the ProLiant and Cray XD lines, with configurations suited to inference, fine-tuning, and large-scale model training. Platform choice determines the GPU options available — ProLiant-based servers cover inference and fine-tuning workloads, while Cray XD platforms are configured for high-throughput training environments. SCC can recommend the right platform based on your workload profile.

What data centre infrastructure do HPE AI & GPU Servers require?

HPE AI & GPU Servers are available in both air-cooled and direct liquid-cooled configurations. Air-cooled models deploy into standard data centre racks without additional infrastructure changes. Direct liquid cooling is available for higher-density GPU configurations and reduces the thermal load on the surrounding environment. The right configuration depends on rack density and existing facility capability.

How is security managed on HPE AI & GPU Servers?

HPE ProLiant AI servers are built on HPE’s silicon-rooted security architecture, which validates firmware integrity from the chip level on every boot. HPE AI & GPU Servers also support post-quantum cryptography readiness and meet FIPS 140-3 Level 3 certification requirements. This supports organisations operating under strict data protection and compliance standards.

When should organisations choose HPE Cray XD over ProLiant AI servers?

HPE Cray XD systems such as the XD6500 and XD670 are used when training large AI models requires high GPU density and sustained performance across multiple nodes. HPE ProLiant platforms such as the DL380a and DL384 are used when running inference or smaller-scale model training within standard data centre environments. The choice depends on whether the workload is focused on building models at scale or running them in production.

Need a different solution?

If these options aren’t the right fit for your environment, we provide a wide portfolio of product series and solutions that may better suit your infrastructure. Explore below, or speak to our team and we’ll help you find the right match.

Ready to discuss your requirements?

Whether you know exactly what you need or you’re still evaluating options, our team is available for a no-obligation conversation.