HPE AI Factory
Turn raw data into insights at any scale with HPE’s AI Factory Portfolio including HPE Private Cloud AI, AI factory at scale and sovereign AI factory.
HPE expands sovereign AI globally with advanced systems for National Research Centers
HPE AI Factories in Europe and U.S., powered by NVIDIA solutions, help deploy, operate, and scale for digital sovereignty and regional compliance.
Move AI from pilot to production quickly, efficiently, and at scale
Multi-tenancy is crucial to at-scale AI factory deployments. HPE's integrated platform offers complete multi-tenant enablement including GPU tenants, automation and self-service, automated resource monitoring and billing, and provisioning of value-added services to individual tenants.
Operationalize AI at scale across the entire AI lifecycle
Able to scale from tens to tens of thousands of GPUs enabling scalable AI operations with orchestration, observability, and lifecycle automation built in.
Observability and control
AI factory at scale and sovereign AI factory incorporates a control plane to both observe and manage the entire system in real-time including data lineage, model behavior, policy enforcement, and system health.
Sovereignty, security, and compliance
AI factory solutions offer full control over their sensitive data and the ability to meet product sovereignty compliance and solution compliance support.
Full multi-tenancy throughout the stack
Eliminates noisy and nosy neighbors with an on-prem GPU-cloud-like experience for AI workloads with individual tenant metering, monitoring, billing, and provisioning.
Speed time to AI value with an HPE AI Factory
Enterprises, service providers, governments, research facilities and public sector entities gain faster time to AI return on investment (ROI) with AI factory solutions at any scale.
| HPE Private Cloud AI | Sovereign AI factory | AI factory at scale | |
|---|---|---|---|
| Description | HPE Private Cloud AI is a full-stack, turnkey AI factory for enterprise-grade AI workloads. Deployed and operational in hours, it integrates AI-optimized hardware, end-to-end AI software, and managed services so customers can move AI use cases into production quickly, securely and scale freely. Built‑in governance, security, and data controls on proprietary data enable differentiated outcomes and faster revenue impact. | HPE AI Factory—Sovereign delivers security, regulatory compliance, and control throughout the AI lifecycle. It brings together the expertise, orchestration and infrastructure for independence, while delivering a competitive advantage at population scale. | The HPE AI factory—At scale includes everything required to rapidly move from AI planning to development and deployment. Hardware, software and services, have been engineering-validated to deliver an optimized integrated system for AI-ready productivity. |
| Best for | Enterprises that need to rapidly scale AI while transforming proprietary data into differentiated, revenue‑driving outcomes. | Governments, public sector entities, financial institutions, and research facilities. | Large enterprises, service providers. |
| Size | up to 128 GPUs | 100s-10,000s GPUs | 100s-10,000s GPUs |
| Pricing | $150K – 2.0M | $500K+ | $500K+ |
| Differentiation |
| HPE offers sovereign AI systems as customizable HPC/AI solutions designed to provide control over data and technology within borders. | The HPE AI Factory—At scale stands out from its competition by offering a comprehensive solution that operationalizes AI across the entire AI lifecycle.
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| Use cases | Generative, agentic, traditional, physical, multi-modal and computer vision AI. | Model training, GenAI as a service, computer vision, inference as a service, chatbots and copilots, agentic AI. | Model training, GenAI as a service, computer vision, inference as a service, chatbots and copilots, agentic AI. |
| Cooling | Air cooled | Air or direct liquid cooled | Air or direct liquid cooled |
| Multi-tenancy | Enterprise multi-tenancy (logical). | Architectural design for hard multi-tenancy at every layer. (Physically segregated compute nodes for tenants (e.g., dedicated servers per tenant) Network segmentation/ configuration for tenant isolation (e.g., switch configuration)) | Architectural design for hard multi-tenancy at every layer. (Physically segregated compute nodes for tenants and network segmentation/ configuration for tenant isolation) |
| Software | HPE AI Essentials plus NVIDIA AI Enterprise, NVIDIA NIMs. Import NVIDIA Blueprints for faster innovation. Import custom, ISV, and open-source tools, models, and apps into HPE AI Essentials Software. | NVIDIA AI Enterprise for governments with vulnerability hardening, HPE compliance features, open-source catalog and proprietary HPE selections, third-party software management. | NVIDIA AI Enterprise open-source catalog. |
| Compliance | Integrated compliance simplifies policies, continuously enforces governance. |
| Standard enterprise compliance. |
| Visibility observability |
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| Security |
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| Enterprise security throughout the stack. |
| Product sovereignty | Air-gapped available |
| Air-gapped available |
| Solution sovereignty | STIG-FIPS ready via NVIDIA hardened NIMs. | System-level compliance, including integration, processes and operational practices. | N/A |
| Operational sovereignty | Maintain full operational sovereignty with integrated security, granular access controls, and policy‑driven governance across every AI workload. |
| N/A |
