HPE Private Cloud AI: технические характеристики и документация
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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. |
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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
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. |
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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. |
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What's New
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- 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
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- HPE Private Cloud AI Smart templates
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HPE Private Cloud AI Family
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HPE Private Cloud AI Expansion Racks
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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: | ||||||||||||||||||||||||||||||||||||||||||
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The core feature set includes: | ||||||||||||||||||||||||||||||||||||||||||
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- 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. | ||||||||||||||||||||||||||||||||||||||||||
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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. | ||||||||||||||||||||||||||||||||||||||||||
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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. |
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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 | |||||||||||||||
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There are pre-defined smart templates that allow for quick and easy ways to quote HPE Private Cloud AI. | |||||||||||||||
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Here is an example of a HPE Private Cloud AI Smart template: | |||||||||||||||
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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. | |||||||||||||||
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The Smart templates contain the following attributes to choose,
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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 | |||||||||||||||
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Notes: Storage amounts shown reflect usable capacity. |
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3. Network Configuration
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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. | |||||||||
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4. Rack and power Configuration
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Resources and additional links | |||||||||
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- The networking requirements, best practices, supported technologies, and supported network topologies for HPE Private Cloud AI: https://psnow.ext.hpe.com/doc/a00114771enw | |||||||||
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Shared Responsibility Model (SRM) | ||||||||||||||||||
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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
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HPE Private Cloud AI Medium Air-Gapped Configuration
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HPE Private Cloud AI developer system
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Pre-requisite for HPE Private Cloud AI | ||||||||||||||||
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As part of the shared responsibility model, the customer is expected to make appropriate decisions including but not limited to: - Rack Infrastructure
- Power Infrastructure
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Date |
Version History |
Action |
Description of Change |
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06-Jul-2026 |
Version 11 |
Changed |
Updated with addition of Alletra MP X10000 Storage and CPU changes |
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15-Jun-2026 |
Version 10 |
Changed |
Overview section was updated. Main changes: - HPE Private Cloud AI Family table includes new Storage information. |
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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 |
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06-Oct-2025 |
Version 8 |
Changed |
HPE Rebranding FY25 |
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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. |
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04-Aug-2025 |
Version 6 |
Changed |
Overview and Configuration Information sections were updated. - Added G2 Medium Air-Gapped configurations |
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21-Jul-2025 |
Version 5 |
Changed |
Survey link updated. |
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02-Jun-2025 |
Version 4 |
Changed |
Overview and Configuration Information sections were updated. |
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07-Apr-2025 |
Version 3 |
Changed |
Overview and Configuration Information sections were updated. Updates for developer system |
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03-Mar-2025 |
Version 2 |
Changed |
Overview section was updated |
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03-Sep-2024 |
Version 1 |
New |
New QuickSpecs |
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Have feedback on QuickSpecs? We're listening | |
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Chat now | |
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© 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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