HPE AI Factory at-scale HPE AI Factory at-scale
HPE AI Factory at-scale, enables large enterprises and service providers to build and operationalize AI at-scale with observability and control across the entire IT landscape with security, efficiency, and multi-tenancy to productionize throughout the AI lifecycle.
Benefits of HPE AI Factory at-scale
Operationalize AI at-scale
- Customizable, standardized and validated hardware, software, and services.
- Pre-validated architectures, automation, and lifecycle services.
- Simplified deployment and operations—reduced dependency on scarce AI expertise.
- Accelerate transition from experimentation to production.
Observability and control
- Centralized observability across on-premises, edge, and cloud.
- Providing real-timeinsight into performance, utilization, costs, and compliance.
- Improve governance and operational efficiency with the HPE AI Factory composer.
Built-in secure multi-tenancy
- Enable multiple teams, business units, or customers to share AI infrastructure.
- Performance and cost optimization.
- Tenants maintain strict isolation, data sovereignty, and security controls.
Industries and use cases
Ideal for large enterprises and service providers with a need for high AI intensity, active production-bound AI initiatives, with multiregional or multidivisional requirements that need secure multi-tenancy with GPU accelerated workloads.
Manufacturing
Virtual facility or product digital twins, connected maintenance, real-time equipment health monitoring to predict failures and recommend proactive maintenance actions, augmented planning and logistics, quality control.
Healthcare and lifesciences
Augmented imaging, personalized medicine, clinical workflow and resource optimization, customer service, self-service.
Financial services
Loss prevention, dynamic pricing, customer service, augmented planning and logistics, self-service.
Related solutions
News and resources
-
Press release | January 27, 2026HPE and 2degrees collaborate to accelerate AI innovation and strengthen data sovereignty in New Zealand
Purpose-built sovereign AI platform engineered for security, agility and data sovereignty unlocks deeper insights and a more personalized customer experience.
Read the press release -
Press release | November 17, 2025TELUS' sovereign AI factory is here to transform your business with AI
This pioneering solution empowers Canadian businesses and researchers with cutting-edge technology, accelerating innovation and boosting productivity, while storing all data and computing power within Canada's borders.
Read the press release
HPE AI Factory at-scale FAQs
What is the HPE AI Factory at-scale and how does it work?
HPE AI Factory at-scale is a validated, customizable AI solution that brings together infrastructure, software, networking, and services to help enterprises, service providers, and model builders operationalize AI at scale while keeping control of their data, models and operations.
Unlike approaches that focus mainly on delivering AI hardware or individual components, HPE provides a complete, integrated system for the full AI lifecycle.
How does HPE AI Factory at-scale help operationalize AI?
HPE AI Factory at-scale reduces AI deployment complexity with a production-ready foundation for infrastructure, software, networking, services, liquid cooling, automation, and operational control. HPE has a thorough process for building and deploying AI factories to meet an organization's performance and scalability requirements; with room to customize as new use cases emerge. The HPE AI Factory at-scale helps organizations minimize business risk often realized when scaling throughout the IT landscape.
What are the main benefits of the HPE AI Factory at-scale
- Built-in secure multi-tenancy
- Industrialized deployment options: HPE offers prefabricated modular data centers and an integrated facility-to-rack approach to accelerate deployment of power-hungry AI workloads
- Cooling and total-cost focus: HPE optimizes AI workloads and efficiencies with innovative direct liquid cooling solutions
- Observability & control plane: The HPE AI Factory composer provides centralized observability, automated resource monitoring/billing, workload placement optimization, and built in orchestration to operate large GPU clusters efficiently
- Services and lifecycle economics: HPE bundles design, deployment, MLOps, managed services, financing and asset recycling—positioning finance and lifecycle management as native parts of the offering
What types of organizations can benefit from the HPE AI Factory at-scale solution?
Service providers and model-building enterprises running large-scale training, inference, and mixed HPC workloads requiring multitenancy with strong isolation from nosy and noisy neighbors.
What are the advantages of HPE's multi-tenant AI infrastructure?
HPE's built-in partitioning supports multiple teams and workloads with resource isolation, governance, and chargeback capabilities, while maintaining visibility and control—ideal for enterprise and service provider use.
How does the HPE AI Factory at-scale enable observability, monitoring and control of your entire IT landscape?
We provide centralized control and observability, including the ability to monitor cluster usage and analyze consumption, as well as dynamic GPU-instance provisioning along with automated resource monitoring and billing. It incorporates a control plane to both observe and manage the entire system with HPE AI Factory composer.
What software and management capabilities does HPE AI Factory at-scale include?
HPE AI Factory at-scale includes management capabilities that help customers operate AI environments with greater control, visibility, and confidence. In competitive AI factory offerings, customers must identify, evaluate, assemble, and manage disparate software tools. In contrast, HPE provides an integrated management approach that can support multitenancy, security and compliance management, self-service provisioning, monitoring, and observability across the AI factory.
How does HPE address power, cooling, and data center requirements?
AI factories require careful planning for power, cooling, space, and operations. Many providers rely on standard data center designs that might not be optimized for high-density AI workloads which may be a magnitude larger than traditional IT loads. HPE brings decades of experience designing demanding high-performance computing environments and applies that expertise to help customers build efficient, resilient facilities for sovereign AI.
What are the customer advantages of HPE Services?
HPE has deployed the AI factory at-scale efficiently with the help of HPE professional services for deployment and lifecycle management. These include financing and recovery, integrated asset management and multi-vendor support.
Why choose HPE for an AI factory at-scale?
The HPE advantage for customers over competitors regarding AI factory at scale centers on our comprehensive, integrated approach to AI infrastructure, enabling scalable, efficient, and secure AI deployment. We also provide pre-validated architectures, sizing, design, deployment, operation and full lifecycle services including financing and recovery HPE also brings decades of expertise and hundreds of patents for integrated liquid cooling across the HPC/AI Factory portfolio.