Enterprise-grade AI infrastructure hosted in the UK – full control of your data, models and compliance.
Centerprise Private AI provides secure, high-performance AI infrastructure designed for organisations that need to innovate while maintaining strict data governance.
Built on HPE Private Cloud AI and deployed on-premise or in UK-based facilities, it supports generative AI, machine learning, analytics and inference workloads without exposing sensitive information to public AI platforms.
Powered by HPE Private Cloud AI, our Private AI offering packages compute, storage, GPU acceleration and management into a pre-validated, AI-optimised private cloud. This removes the complexity and risk from building AI infrastructure from scratch and delivers a ready platform for ML training, large model inference, generative AI, data analytics and application development
All infrastructure and data remain within your control – whether on premise or in UK-hosted data centres – giving you full sovereignty, compliance with data residency regulations and peace of mind when handling sensitive workloads.
With pre-configured “t-shirt size” bundles (small, medium, large), Private AI can be deployed quickly and scaled out as your AI projects grow from pilot experiments to enterprise-wide deployment. The predictable cost model and integrated management help control CAPEX/OPEX, streamline budgeting and lower risk.
Our Private AI supports infrastructure for model development, training, inference, data pipelines, analytics and generative AI use cases. With GPU acceleration, AI-ready storage and integrated tooling, your teams can iterate faster – from proof of concept to production – without compromising security or compliance.
ISO 9001
ISO 27001
ISO 14001
Combine Private AI with secure compute and networking infrastructure either on-prem or in UK-hosted environments.
Use secure, compliant storage and backup services to support your AI data pipelines and lifecycle.
Build robust, high-performance networking to underpin AI workloads, including GPU clusters, data transfer and hybrid cloud connectivity.
Protect your AI environment and data with resilient backup and disaster recovery services.
Private AI refers to AI infrastructure that runs entirely within an organisation’s controlled environment, either on-premise or in UK-hosted data centres. Models, data and operational metadata remain fully governed and never pass through public AI platforms.
Yes. Workloads are deployed either on-premise or in UK-based, accredited facilities. All data remains under UK jurisdiction throughout its lifecycle.
The platform supports supervised and unsupervised ML training, large-scale inference, generative AI workloads, analytics pipelines and model deployment workflows.
Deployment times vary by chosen bundle, but pre-validated configurations enable significantly faster deployment than custom-built AI infrastructure.
Private AI supports flexible cost models, including CAPEX purchase, OPEX subscription or hybrid approaches.
Yes. GPU, compute, and storage resources can be expanded modularly to support increased training requirements or additional teams.
All data stays within the UK-resident infrastructure. Access controls, auditability and governance tooling support regulatory compliance and internal IP protection requirements.
The platform supports common AI stacks including PyTorch, TensorFlow, CUDA, NVIDIA AI frameworks, MLOps pipelines and container-based workflows (Kubernetes).
