HPE Private Cloud AI
Build, run, and scale enterprise AI agents with full unified control, governance, and observability across your data, models, tools, and workflows.
HPE is named a Leader in the IDC MarketScape for Private AI Infrastructure
Go from AI idea to production in weeks, not months, with turnkey private AI infrastructure built to speed time to value.
Create enterprise AI agents with less complexity and risk
See how HPE Private Cloud AI powers a loan verification agent that securely taps enterprise data, auto‑drafts renewal memos, and drives governed, audit‑ready approvals for real‑world agentic AI.
Optimized AI performance and economics
Maximize AI performance and economics by aligning data, compute, and networking in a turnkey private AI stack—reducing movement, cutting latency, and controlling cost.
Model and tool freedom
Use the models you want, add new ones without rework, and orchestrate agents in a single governed stack.
Enterprise-grade reliability and security
Enforce policies, support audit and compliance, and protect sensitive and regulated data.
Our customers
Explore the economic benefits of HPE Private Cloud AI
See what an integrated AI platform can do for your bottom line—up to 60% cost savings compared to public cloud, with deployment in under 8 hours.
Related products
Key questions answered
What is the HPE Private Cloud AI Production Inference Platform?
Co-engineered with NVIDIA, HPE Private Cloud AI delivers a production-ready stack for inference, orchestration, and model development with a single console to deploy, monitor, and govern AI workloads, built-in security policies, and governed access to enterprise data, tools, and APIs.
How does HPE Private Cloud AI help move from pilots to production AI agents?
HPE Private Cloud AI provides a turnkey stack with validated blueprints, self-service tools, and a single console to deploy, orchestrate, and scale agentic workflows—skipping months of integration.
What does HPE Private Cloud include?
HPE Private Cloud includes a development environment, orchestration, and inference runtimes, along with governed connectors for data, tools, and APIs. A unified console lets you deploy, monitor, and manage AI lifecycles, while built-in policies, access control, logging, and audit capabilities provide governance across all workloads.
Can I use my own and third-party models, apps, and tools?
Yes, import proprietary, Hugging Face, or NVIDIA NIM models into a governed environment; connect enterprise data via low-code RAG pipelines and integrate custom apps without rebuilding stacks.
Why use HPE Private Cloud AI instead of only public cloud AI services?
Public cloud AI works well for trying ideas and handling occasional spikes, but 24/7 AI agents can quickly drive up usage-based costs because every interaction is metered. HPE Private Cloud AI gives you a dedicated platform close to your data, so you can keep AI costs more predictable while maintaining sovereignty and low latency for production workloads.
When is HPE Private Cloud AI a strong fit for customers?
Ideal for regulated industries (healthcare, finance, manufacturing) needing data residency, high-volume inference, or agentic AI on sensitive data—when pilots stall on security, scale, or cost.
What are common workloads for HPE Private Cloud AI?
Multi-agent orchestration (supply chain, customer service), real-time vision AI, grounded enterprise copilots and agents, and generative apps like fraud detection or predictive maintenance—all optimized for GPUs.
How does NVIDIA integration accelerate inference?
Co-engineered with NVIDIA, it leverages NIM microservices, Blackwell GPUs, and blueprints for low-latency, multi-node inference—delivering up to 30x throughput on enterprise workloads.
