HPE Private Cloud AI
HPE logo

HPE Private Cloud AI for secure enterprise generative AI.

Your data is your competitive advantage.
Why give up control to use AI?

Unlock the power of generative AI in a secure, controlled and scalable environment with HPE Private Cloud AI. Designed for production-ready use cases, robust governance and complete control over your enterprise data.

Please allow cookies to see content from YouTube.

We use YouTube to embed video content on our website. This service may collect data on your activity. For more information, please go to the settings page.

Settings Allow cookies
HPE Private Cloud AI - Lösung

Why AI projects often stall.

Getting started with AI is easy. Turning it into a production-ready capability requires control.

Many organisations are already exploring generative AI, but once real business data, compliance requirements and critical processes come into play, new questions arise. Where is the data stored? Who controls access? How can costs remain predictable? And how do you turn a pilot project into a reliable platform?

  • Sensitive data cannot be allowed to flow unchecked into public AI services.
  • Business teams expect rapid results, while IT and security teams are responsible for managing risk.
  • Unclear cost models make it difficult to scale from initial testing to production.
  • Without the right infrastructure, AI use cases often remain stuck in the experimental stage.

This is exactly where HPE Private Cloud AI comes in, enabling organisations to run AI where control, compliance and performance come together.

HPE Private Cloud AI.

The platform for production-ready AI in a controlled environment.

HPE Private Cloud AI brings together AI infrastructure, software, operations and governance in a single platform, enabling organisations to deploy generative AI securely and at scale.

  • Data control: Keep enterprise data in a controlled environment and make it available for AI applications on your terms.
  • Faster time to value: Preconfigured building blocks help move AI projects more quickly from proof of concept to production.
  • Enterprise-ready: Security, governance, performance and scalability are built in from the start.
  • Flexibility: Designed for initial GenAI use cases, growing workloads and strategic AI platforms alike.
Book a consultation on Private AI
HPE Private Cloud AI brings AI closer to your data and closer to delivering real business value.
Book spine Icon

Data sovereignty.

Maintain full control over sensitive business data and reduce the risks associated with uncontrolled data flows.

Managed Services Icon

Governance.

Establish clear frameworks for access, usage, security and the traceability of AI applications.

Speedometer_Speed Icon

Speed.

Accelerate the journey from AI concept to production-ready use case with a platform designed for enterprise requirements.

Growth Icon

Scalability.

Start with targeted use cases and scale your AI landscape as business requirements and workloads grow.

AI that doesn’t just impress. It transforms the way work gets done.

HPE Private Cloud AI enables organisations to develop and run generative AI applications wherever data sovereignty, security and performance are business-critical.

Knowledge Copilot.

Employees can quickly find context-aware answers from internal documents, policies, project data and knowledge bases—securely within their own environment.

Document intelligence.

Automatically summarise, compare and analyse contracts, reports, tenders and technical documentation.

Service Desk Copilot.

Support teams receive recommendations, draft responses and relevant knowledge articles directly within the context of each request.

Production and quality analytics.

Use AI to analyse operational, machine and quality data, identify anomalies and uncover optimisation opportunities faster.

RAG chatbot for enterprise data.

A chatbot that goes beyond generic responses by drawing on approved company knowledge to deliver transparent, traceable answers.

Developer and operations assistant.

Support teams with code analysis, documentation, runbooks, troubleshooting and day-to-day system operations.

Enterprise AI takes more than a model.

Production-ready AI depends on the seamless integration of data, compute, software, storage, networking, security and operations. HPE Private Cloud AI brings these elements together in a controlled AI platform.

  • AI compute: High-performance infrastructure for demanding GenAI and machine learning workloads. 
  • Data platform and storage: High-performance access to relevant enterprise data. 
  • NVIDIA AI software stack: Tools and services for developing, deploying and operating AI applications. 
  • Security and governance: Controlled access, clear operating models and enterprise-grade governance. 

The focus is not on product specifications, but on how the platform enables organisations to move AI into production. Focus: How this platform turns AI into production-ready business outcomes. 

How ready is your organisation for production-ready AI?

Answer a few questions to discover the best next step on your AI journey. 

Have you already identified specific AI use cases within your organisation?
Which data sources will be used for AI applications?
What are your requirements for data protection, compliance and data sovereignty?
Are GenAI tools already being used within business teams?
Do you already have an AI strategy or governance framework in place?

Explorer: You have initial ideas and should focus on defining use cases, assessing your data landscape and understanding potential risks. 

Builder: You have identified concrete use cases and need a robust platform roadmap. 

Ready for Production: You are ready for a demo, architecture workshop and clearly defined implementation steps. 

Book a personal AI consultation

Private AI in Switzerland:The essential guide for decision-makers.

Generative AI offers enormous potential, but only when data, security and governance are considered from the outset, and this guide shows how organisations can take a strategic approach to Private AI. 

  • Why public AI tools are not suitable for every business use case 
  • The role of data sovereignty and governance 
  • How organisations can identify the right use cases 
  • Which infrastructure questions should be addressed early on 
  • How to move from pilot projects to production-ready AI 
Download guide

AI Ideation Workshops.

Have you considered the potential of AI within your organisation? Interested in adopting AI but unsure where to begin? Our experts are here to help you take the next step.

Learn more

FAQ

What is HPE Private Cloud AI?
Who is Private AI designed for?
Is Private AI only for relevant large enterprises?
Which use cases are best suited for getting started?
What is the best way to get started?
Do organisations need an AI strategy already in place?
What is HPE Private Cloud AI?

HPE Private Cloud AI is an approach to deploying AI applications in a controlled private environment, with a focus on data control, enterprise-grade operations, scalability and governance. 

Who is Private AI designed for?

Private AI is ideal for organisations that want to use generative AI with proprietary or sensitive data while maintaining high standards for security, compliance, performance and control. 

Is Private AI only for relevant large enterprises?

No. Relevance is determined not by company size, but by the importance of your data, regulatory requirements and production-ready AI use cases. 

Which use cases are best suited for getting started?

Common starting points include knowledge management, document analysis, internal chatbots, service desk support, quality analytics and AI assistants for business teams. 

What is the best way to get started?

The most effective approach is a structured one: identify use cases, assess your data landscape, define governance requirements, and then move on to a workshop or demonstration. 

Do organisations need an AI strategy already in place?

No. This microsite is designed for organisations at every stage of their AI journey, including those just getting started. The AI Readiness Check helps identify the most appropriate next step.