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HPE Private Cloud AI: технические характеристики и документация

HPE Private Cloud AI

Have feedback on QuickSpecs? We're listening

HPE Private Cloud AI

QuickSpecs

 

HPE Private Cloud AI is a purpose-built solution designed to provide fast and easy deployment of On-Prem AI applications with a focus on inferencing, Retrieval-Augmented Generation (RAG), and fine-tuning. HPE Private Cloud AI is a co-developed HPE and NVIDIA® enterprise solution that includes a complete infrastructure and software portfolio. 

 

 

At A Glance  

HPE Private Cloud AI delivers a unique cloud experience designed to accelerate data science productivity and time to business value. It delivers instant AI productivity by arriving at a customer's location ready to deploy in three clicks after hardware installation and software onboarding are complete. Once available, multiple personas have self-service access to a diverse set of NVIDIA technologies and open-source tools and models to
increase productivity by 90% through an evergreen, cloud-managed experience
1.

 

Notes: 1Source: HPE internal reports. Comparison between using GPT-4 via OpenAI API vs. self-hosted Llama3, assuming an enterprise account with 5,000 users, 5 chat sessions per day, 8,000 tokens per chat.

 

AI teams can innovate faster with built-in compliance and explainability to foster model trust, quickly detect model bias, diagnose and improve model performance, and remain compliant with industry regulations.

 

Built with enterprise-grade controls means organizations can fearlessly innovate, with a scalable platform - all controlled from a unified dashboard.

 

Future-proof your AI journey with HPE. Launch small, scale seamlessly, and invest confidently with our co-developed NVIDIA + HPE solution. One modular architecture protects customers' investment by ensuring compatibility with future innovations from NVIDIA, HPE, and the open-source world.

 

- Evergreen cloud experience with NVIDIA technologies and a rich ecosystem of open-source tools and models

- Automated AI pipelines with clear data lineage and verifiable changes empower efficient, accountable development

- Robust security, on-demand scalability, and compliance for data and AI models - all managed from a single dashboard

 

One of the challenges businesses face is getting AI pilots to production faster.

 

HPE Private Cloud AI delivers instant AI productivity with a unique, private cloud experience that accelerates the productivity of data science teams and time to business value with NVIDIA AI Computing.

 

HPE Private Cloud AI offers enterprise customers the ability to leverage NVIDIA AI Enterprise (NVAIE) portfolio, including NVIDIA Inferencing Microservices (NIM), and HPE portfolio of curated market adopted open-source AI tools and platforms with full private control of their data. The solution will enable enterprises to expedite their Machine Learning and AI initiatives starting from creating their private data lake houses, to data pipeline, model development and fine-tuning, to operationalizing their GenAI workflows.



 

What's New

 

- HPE Private Cloud AI Air-Gapped Large deployment option

- HPE Private Cloud AI Developer system featuring NVIDIA RTX Pro 6000 Blackwell Server Edition GPUs

- HPE Private Cloud AI Large configuration featuring NVIDIA RTX Pro 6000 Blackwell Server Edition GPUs

- HPE Private Cloud AI with the Alletra X10000 Storage Solution and support for Data Intelligence

 

As agentic AI simplifies automation and provides consistent profitability from AI workloads, the importance of rapid productivity, reliability, and data protection has never been greater. To accelerate the development and delivery of agentic AI across industries, Hewlett Packard Enterprise and NVIDIA® are introducing the Private Cloud AI Developer and Large configurations featuring the NVIDIA RTX Pro 6000 Blackwell Server Edition GPUs to their end-to-end enterprise AI platform with support for Physical AI and Visual Computing workloads

 

HPE is also supporting secure deployments with the Private Cloud AI  Large air-gapped solution. Ensure the protection of sensitive data with private AI model customization by eliminating exposure to external networks.

 

Category

Description

Platform

- Server support: HPE ProLiant Compute Gen11 and Gen12 servers

- AMD-based HPE ProLiant Compute DL325 Gen11 Control Nodes

- Intel-based HPE ProLiant Compute DL380a Gen12 AI Worker Nodes

- Storage support: HPE Alletra Storage MP X10000 Alletra X10000 with Object and File Storage enabled for Small/Medium/Large T-shirt size

Manageability

- Cloud-based setup and lifecycle management (single-click upgrades)

Analytics & Monitoring

- Cluster and VM capacity and performance, storage health status information

Support

- One call support experience with HPE Services

 

- HPE Private Cloud AI Smart templates

    • Availability of pre-configured Smart Templates with HPE ProLiant Compute Gen12 Servers


 

HPE Private Cloud AI Family

 

Feature

Developer System

Small

Medium

Large

Control Node Qty

1

3

3

3

Worker Node Qty

1

1 or 2

2

2

Worker Node Generation

HPE ProLiant Compute Gen12

HPE ProLiant Gen12

HPE ProLiant Gen12

HPE ProLiant Gen12

CPU Type / Qty (per node)

2x Xeon 32 Core CPUs

2x Xeon 64 Core CPUs

2x Xeon 64 Core CPUs

2x Xeon 64 Core CPUs

GPU Type / Qty

2x RTX Pro 6000

4 or 8x RTX Pro 6000

8x H200

16x H200 or RTX Pro 6000

Storage

22 TB Internal File/Object

62TB HPE Alletra Storage MP X10000 File and Object Storage

62TB HPE Alletra Storage MP X10000 File and Object Storage

124TB HPE Alletra Storage MP X10000 File and Object Storage

Networking Switches

N/A

NVIDIA 4700M

Aruba 6300M (oobm)

NVIDIA 4700M

Aruba 6300M (oobm)

NVIDIA 4700M

Aruba 6300M (oobm)

NIC Speed (AI Network)

200 Gb NICs

400 Gb NICs

400 Gb NICs

400 Gb NICs

Rack / PDU

N/A

1x 42U Rack with PDUs

1x 42U Rack with PDUs

2x 42U Rack with PDUs

Install Services Included

N/A

Yes

Yes

Yes

Sales Motion

Traditional or GreenLake

Traditional or GreenLake

Traditional or GreenLake

Traditional or GreenLake

Air-Gapped Deployment Option

No

No

Yes

Yes

Expansion Rack Support

No

Yes

Yes

Yes



 

HPE Private Cloud AI Expansion Racks

 

Feature

RTX Expansion Rack

H200 Expansion Rack

Control Node Qty

0

0

Worker Node Qty

2

2

Worker Node Generation

HPE ProLiant Gen12

HPE ProLiant Gen12

CPU Type / Qty (per node)

2x Xeon 86 Core CPUs

2x Xeon 86 Core CPUs

GPU Type / Qty (per solution)

8x RTX Pro 6000 (Small)

16x RTX Pro 6000 (Large)

16x H200 (Medium or Large)

Expansion Racks Supported

N/A

N/A

Storage

N/A

N/A

Networking Switches

N/A

N/A

NIC Speed (AI Network)

400Gb NICs

400Gb NICs

Rack / PDU

1x 42U Rack with PDUs

1x 42U Rack with PDUs

Install Services Included

Yes

Yes

Sales Motion

Traditional or GreenLake

Traditional or GreenLake

Air-Gapped Deployment Option

No

Yes

 


Key Features and Benefits 

HPE Private Cloud AI is turnkey, deployed in a few hours, cloud-managed, and ready to use by AI personas and IT operations teams and provides rapid productivity for AI initiatives while protecting data and IP. The key value propositions aligned to customer problems are:

 

The core feature set includes:

- Instant AI productivity: HPE Private Cloud AI provides a unique, private cloud experience that accelerates data science productivity and time to business value with NVIDIA AI Computing. The solution is pre-integrated and ready to run out of the box in hours. It is not a reference architecture like other solutions in the market.

- Unify access to all your data: Secure and Unified access to all your data: HPE simplifies data management and reduces cost and complexity by integrating, organizing, and governing enterprise data for seamless access, data integrity and compliance. Enterprise-grade confidence and control: HPE Private Cloud AI is managed through a simple control plane on GreenLake. Users can easily provision, orchestrate, manage and monitor the private cloud environment and the hybrid cloud landscape it exists within. Comprehensive, multi-layered controls protect sensitive data and models and maintain high performance, reliability and utilization of AI infrastructure.

 

Cloud experience that keeps data private: HPE Private Cloud AI delivers a true cloud experience through GreenLake. Deployed on-premises and designed for hybrid, HPE Private Cloud AI provides flexible and modular choices to expand and grow with AI demand. As business needs change, it's easy for customers to grow the solution. And monthly subscription pricing allows customers to start small financially and grow as their projects prove ROI.


Support is included as part of the subscription for HPE Private Cloud AI. Included with the support is 24x7 telephone and email support for the arrays and hardware components for the chosen subscription term.  

 

Refer to the HPE Private Cloud AI Data sheet https://www.hpe.com/psnow/doc/a50010051enw?section=Document%20Types for the service deliverables and the shared responsibility model as part of the subscription.


Easy Configuration through Smart templates  

There are pre-defined smart templates available that allow for quick and easy ways to quote:

1. HPE Private Cloud AI

 

There are pre-defined smart templates that allow for quick and easy ways to quote HPE Private Cloud AI.

 

Here is an example of a HPE Private Cloud AI Smart template:

Config Name: PrivateCloudAI-Small-1Svr/4xH200 GPU-62TB File/Object-3Phase/NA-Jpn-PDU-1Rack-3yr

 

Description: HPE Private Cloud AI Small Single Node-4GPU Solution for AI Inference.  62TB File/Object Storage, 400GbE Networking, Single Rack and 3Phase PDU.

 

The Smart templates contain the following attributes to choose,

 

1. T-Shirt Sizing - Developer System, Small, Medium, or Large Configurations

2. Workload Tier -

a. AI Inference

b. AI Agents and Retrieval Augmented Generation (RAG)

c. Model Fine-tuning

d. Visual / Physical AI

 

PCAI T-Shirt Size

Base

Expanded

Developer System

2x RTX Pro 6000 GPUs and 22TB of integrated Storage for developing low-mid parameter model AI applications

N/A

Small

4 or 8x RTX Pro 6000 GPUs and 62TB Storage for AI Inference and Visual Computing

12 or 16 RTX Pro 6000 GPUs via 1x Expansion Rack

 

Medium

8x H200 GPUs and 62TB Storage for AI Inference and RAG

24x H200 GPUs via 1x Expansion Rack

Large

16x H200 or RTX Pro 6000 GPUs and 124TB Storage for AI Inference, RAG, Fine-tuning, and Visual / Physical AI

Up to 64x H200 or RTX Pro 6000 GPUs via 3x Expansion Racks

 

Notes: Storage amounts shown reflect usable capacity.


 

3. Network Configuration

 

Network Configuration (Small/Medium/Large)

Detail

Networking equipment included

Two top-of-rack switches and out of band management switches are included along with all transceivers and signal cabling required for l in-rack solution (Customers are responsible for transceivers to connect to core network switches)

 

Network Configuration

(developer system)

Detail

Networking equipment included

None- Requires customer furnished networking (100GbE or 200GbE recommended)

 

Notes: The deployment and startup services included with HPE Private Cloud AI will include the setup and configuration of top-of-rack switches for Small, Medium, and Large configurations only.

 

4. Rack and power Configuration

 

Rack Configuration

(Small/Medium/Large)

Detail

Rack included

The solution will include a 42U Rack with integrated PDUs for HPE Private Cloud AI.

Rack Dimensions: 600 mm (W), 1200 mm (D)

 

Rack Configuration

(developer system)

Detail

Rack included

None- Requires customer furnished rack and PDUs (~2600W Recommended)


Resources and additional links

- The networking requirements, best practices, supported technologies, and supported network topologies for HPE Private Cloud AI: https://psnow.ext.hpe.com/doc/a00114771enw


 


 

Shared Responsibility Model (SRM)

HPE Private Cloud AI subscription includes the necessary hardware, software, and services to deliver the service level specified. The service levels offered are based on a foundational shared responsibility model (SRM) depicted below:

 

HPE Private Cloud AI Small/Medium/Large Configurations

 

Customer

HPE

Responsible for the connectivity to GreenLake Cloud Platform (GLCP), the administration, and the management of the data/objects

Responsible for the functionality of the service

Site Readiness including datacenter facilities and internet connectivity

Installation of hardware systems & activation of Service  

Maintain connectivity to GreenLake Cloud Platform
Data resilience and remote replication
Data backup

Customer Orientation
Access to software, firmware, and documentation updates Onsite hardware support

Applying recommended software updates & security patches Data Monitoring

 

Initiating the order of additional capacity beyond total available capacity

Operational guidance through the platform

NVIDIA and Aruba Switch OS/Firmware lifecycle management

Operational insights and dashboard through the platform

HPE PDU Firmware lifecycle management

 

NVIDIA GPU Firmware lifecycle management

 

 

HPE Private Cloud AI Medium Air-Gapped Configuration

 

Customer

HPE

Site Readiness including datacenter facilities

Installation of hardware systems & activation of Service 

Data resilience and remote replication
Data backup

Customer Orientation
Access to software, firmware, and documentation updates Onsite hardware support

Applying recommended software updates & security patches Data Monitoring

 

Initiating the order of additional capacity beyond total available capacity

 

NVIDIA and Aruba Switch OS/Firmware lifecycle management

 

HPE PDU Firmware lifecycle management

 

NVIDIA GPU Firmware lifecycle management

 


 

HPE Private Cloud AI developer system

 

Customer

HPE

Responsible for the connectivity to GreenLake Cloud Platform (GLCP), the administration, and the management of the data/ objects

Responsible for the functionality of the service

Site Readiness including datacenter facilities and internet connectivity

 

Maintain connectivity to GreenLake Cloud Platform
Data resilience and remote replication
Data backup

Access to software, firmware, and documentation updates Onsite hardware support

Applying recommended software updates & security patches Data Monitoring

 

Initiating the order of additional capacity beyond total available capacity

Operational guidance through the platform

Installation of hardware systems & activation of Service 

Operational insights and dashboard through the platform

NVIDIA GPU Firmware lifecycle management

 


Pre-requisite for HPE Private Cloud AI

As part of the shared responsibility model, the customer is expected to make appropriate decisions including but not limited to:

- Rack Infrastructure

    • Space
    • Rails

- Power Infrastructure

    • PDU - Cables

Date

Version History

Action

Description of Change

06-Jul-2026

Version 11

Changed

Updated with addition of Alletra MP X10000 Storage and CPU changes

15-Jun-2026

Version 10

Changed

Overview section was updated.

Main changes:

- HPE Private Cloud AI Family table includes new Storage information.

02-Mar-2026

Version 9

Changed

The current version of HPE Private Cloud AI QuickSpecs reflects a major generational update focused on next-generation NVIDIA Blackwell GPUs, simplification of configurations, and expanded secure (air-gapped) deployment options. Legacy G1 configurations have been removed, while new Developer, Large, and disconnected (air-gapped) options have been introduced to support modern GenAI, RAG, fine-tuning, and Physical/Visual AI workloads.

- Removed G1 Configurations. Added New Developer System, Large with RTX and Large Disconnected Configurations

06-Oct-2025

Version 8

Changed

HPE Rebranding FY25

02-Sep-2025

Version 7

Changed

Overview and Configuration Information sections were updated. - AI G2 Small configuration featuring NVIDIA® RTX Pro 6000 Blackwell Server Edition GPUs information was added.

04-Aug-2025

Version 6

Changed

Overview and Configuration Information sections were updated. - Added G2 Medium Air-Gapped configurations

21-Jul-2025

Version 5

Changed

Survey link updated.

02-Jun-2025

Version 4

Changed

Overview and Configuration Information sections were updated.

07-Apr-2025

Version 3

Changed

Overview and Configuration Information sections were updated.

Updates for developer system

03-Mar-2025

Version 2

Changed

Overview section was updated

03-Sep-2024

Version 1

New

New QuickSpecs

 

 

Have feedback on QuickSpecs? We're listening

 

 

 

 

 

Chat now

 

 

© Copyright 2026 Hewlett Packard Enterprise Development LP. The information contained herein is subject to change without notice. The only warranties for Hewlett Packard Enterprise products and services are set forth in the express warranty statements accompanying such products and services. Nothing herein should be construed as constituting an additional warranty. Hewlett Packard Enterprise shall not be liable for technical or editorial errors or omissions contained herein.

 

a50009216enw - 17248 - Worldwide - V11 - 06-July-2026

 

 

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