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HPE GreenLake · Private Cloud AI (PCAI)

Deploying HPE Private Cloud AI (PCAI) on GreenLake

A turnkey, NVIDIA co-engineered private Artificial Intelligence (AI) stack — go from AI idea to production in weeks, not months, with on-premises data sovereignty, model freedom, and enterprise-grade governance. HPE is named a Leader in the IDC MarketScape for Private AI Infrastructure.

HPE Private Cloud AI turnkey platform
Executive Summary

A single, integrated platform for enterprise AI

HPE Private Cloud AI (PCAI) cuts through complexity so you can build, run, and scale enterprise AI agents with unified control, governance, and observability across your data, models, tools, and workflows — purpose-built for high-performance, cost-efficient inference that brings models to the data.

At a glance

Target workloadGenerative AI, machine learning (ML), and enterprise AI agents — optimized for inference
InfrastructureTurnkey stack co-engineered with NVIDIA — HPE ProLiant Compute (e.g., DL380a Gen12) with GPUs, HPE storage, and networking, orchestrated by HPE Morpheus Software
Billing metricHPE GreenLake consumption (pay-per-use); delivered as-a-service
Key advantageOn-premises data sovereignty with cloud-like scaling; AI idea to production in weeks, not months

Why HPE Private Cloud AI

Create enterprise AI agents with less complexity and risk.

Optimized AI performance & economics

Align data, compute, and networking in a turnkey private AI stack — reducing data movement, cutting latency, and controlling cost.

Model & tool freedom

Use the models you want, add new ones without rework, and orchestrate agents in a single governed stack.

Enterprise-grade reliability & security

Enforce policies, support audit and compliance, and protect sensitive and regulated data.

Deployment Phases

How to deploy HPE Private Cloud AI on GreenLake

A turnkey path from site survey to production AI — BlueAlly manages the physical infrastructure so your teams focus on models and agents.

Size the workload (models, expected inference throughput, data volumes), confirm power, cooling, rack, and network readiness, and select the right PCAI configuration.

HPE and BlueAlly install the co-engineered stack — HPE ProLiant Compute with GPUs, storage, and high-speed networking — and integrate it into your data center or colocation facility.

Connect the platform to HPE GreenLake for a unified control plane, consumption analytics, and observability (with HPE OpsRamp), and set up single sign-on, role-based access, and governance guardrails.

Deploy your chosen models on the NVIDIA AI Enterprise software stack, orchestrate agents through HPE Morpheus Software, and run governed, audit-ready workflows — scaling on-demand while data stays on-premises.
Architectural Flow

The HPE Private Cloud AI stack

A full-stack, turnkey private AI platform — each layer is integrated and delivered as one system so data, compute, and networking stay aligned.

LayerComponentRole
AI softwareNVIDIA AI Enterprise + your models, tools, and agentsBuild, run, and govern generative AI and agentic workflows
OrchestrationHPE Morpheus SoftwareProvision, automate, and orchestrate agents across the stack
Management & observabilityHPE GreenLake + HPE OpsRamp SoftwareUnified control plane, consumption analytics, and AIOps observability
ComputeHPE ProLiant Compute (e.g., DL380a Gen12) with GPUsHigh-performance, cost-efficient inference
Storage & networkingHPE storage and high-speed fabricBring models to the data; reduce movement and latency
GovernancePolicy, identity, and audit controlsProtect sensitive, regulated data; support compliance

What enterprises build on HPE Private Cloud AI

Service desk

Case study: cutting proposal creation from 20 minutes to 45 seconds

By offloading repeatable tasks to HPE Private Cloud AI, Klein Computer Systems speeds proposal creation from 15–20 minutes to 45 seconds and keeps answers flowing 24x7 — freeing teams to work directly with customers.

Real-time operations

Case study: an AI-powered command center at golf's biggest stage

The Ryder Cup team built an AI command center with HPE, replacing assumptions with real-time insights — optimizing crowd flow and concessions and creating a blueprint for the 2027 event.

Agentic AI

Case study: a governed, audit-ready loan verification agent

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.

Financial Operations (FinOps)

The economics of a turnkey private AI stack

A turnkey platform aligns data, compute, and networking to control the real cost drivers of enterprise AI — and the HPE GreenLake consumption model aligns spend to use.

DimensionDo-it-yourself AI stackHPE Private Cloud AI
Time to productionMonths of integration and tuningWeeks — turnkey, pre-integrated stack
Data movement & latencyData shuttled between silos and cloudsModels brought to the data on-premises; reduced movement and latency
Cost modelLarge up-front capital expense (Capex)HPE GreenLake consumption (operating expense / Opex)
GovernanceAssembled per toolUnified control, governance, and observability across the stack
Data sovereigntyOften public-cloud dependentOn-premises sovereignty with cloud-like scaling

HPE Private Cloud AI: common questions

HPE Private Cloud AI (PCAI) is a turnkey, full-stack private AI platform co-engineered by HPE and NVIDIA to build, run, and scale generative AI and enterprise AI agents on-premises. It brings the models to your data — delivered as a service on HPE GreenLake consumption — so your proprietary data stays on your premises with unified control, governance, and observability.

Deployment follows a turnkey path: capacity planning and site survey; racking, stacking, and network integration of the co-engineered HPE ProLiant compute, GPUs, storage, and networking; HPE GreenLake onboarding for a unified control plane, consumption analytics, and observability with SSO, role-based access, and governance; and then bringing your chosen models to the data on the NVIDIA AI Enterprise stack, orchestrated by HPE Morpheus Software. BlueAlly manages the physical infrastructure so your teams focus on models and agents.

It is built on NVIDIA AI Computing by HPE: the NVIDIA AI Enterprise software stack — which includes NVIDIA NIM inference microservices — running on NVIDIA GPUs such as the L40S, H100 NVL, and GH200 NVL2, with NVIDIA Spectrum-X Ethernet networking, integrated with HPE ProLiant compute, HPE storage, and the HPE GreenLake cloud.

PCAI is delivered as a service and billed on the HPE GreenLake consumption (pay-per-use) model, so it is an operating expense rather than a large up-front capital purchase, and spend aligns to what you use.

HPE Private Cloud AI is available through authorized HPE partners. EdgeCloudStore.com is a division of BlueAlly, an authorized HPE GreenLake reseller. Tell us your AI workloads and a specialist will help you scope, price, and deploy PCAI — with BlueAlly managing the physical infrastructure.

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Stand up enterprise AI on your terms

Tell us your AI workloads and an EdgeCloudStore specialist will help you scope, price, and deploy HPE Private Cloud AI — with BlueAlly managing the physical infrastructure.