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build 7bbbddf7 | content blog-content@c8490fa · 338 posts | profiles 20 · corpus 267 | ● 0 skipped | | format
apiVersion: soultec.ch/v1kind: Solutionmetadata: name: hpe/hpe-private-cloud-ai locale: en labels: vendor: HPE Private Cloud AI capability/ai: 5.59 capability/cloud: 1.94 vendor/hpe: 2.04 annotations: source: src/content/solutions/en/hpe/hpe-private-cloud-ai.md route: /en/solutions/hpe/hpe-private-cloud-ai/ schema: /nerd/schema/solutions.json markdown: /en/solutions/hpe/hpe-private-cloud-ai.mdspec: title: HPE Private Cloud AI tags: [ai, cloud] vendors: [hpe] summary: >- A preconfigured AI platform from HPE and NVIDIA, in your own datacentre. Public-cloud ways of working without the data leaving the building. photoNeed: >- HPE hardware in our hands: a ProLiant or Alletra being racked, cabled, or opened, with the model badge readable stub: false draft: false kind: product addon: false vendorName: HPE Private Cloud AI status: current sections: - heading:

What it is

 body: | Private Cloud AI is an AI-optimised private cloud that HPE built together with NVIDIA. Preconfigured hardware: ProLiant servers, NVIDIA GPUs, networking and storage matched to AI workloads and scalable across several sizes. On top sits a self-service layer where data scientists take tools and models without raising a request for every experiment. - heading:

What it is for

 body: | Organisations that want to do productive work with AI and whose data cannot leave the building. That is the actual use case: the public cloud's way of working with a local estate's control. - heading:

Why preconfigured is an argument

 body: | Building an AI platform yourself means reconciling GPU drivers, framework versions, network throughput and storage latency before a single model runs. That reconciliation is what has been done here in advance. - heading:

What to watch

 body: | GPUs are expensive and want to be busy. Before size and quantity are fixed, it should be clear how many teams share the platform and how allocation is governed. That is an operations question rather than a procurement one.status: corpus: 267 services: - {ref: services/cloud, score: 0.38} experts: - {ref: experts/karl-widmer, score: 0.42} - {ref: experts/aldo-gwerder, score: 0.40} - {ref: experts/daniel-stadelmann, score: 0.40} neighbours: - {ref: solutions/hpe/hpe-private-cloud-business-edition-pcbe, score: 0.45} - {ref: solutions/hpe/hpe-greenlake, score: 0.40}
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What it is

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What it is for

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Why preconfigured is an argument

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What to watch

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What it is

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What it is for

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What to watch

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What it is

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What it is for

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Why preconfigured is an argument

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What to watch

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Solution · HPE

HPE Private Cloud AI

A preconfigured AI platform from HPE and NVIDIA, in your own datacentre. Public-cloud ways of working without the data leaving the building.

HPE Gold Partner

Topics AI 5.59 Cloud 1.94
Vendors HPE 2.04
01Services
02Capabilities
267Corpus

What it is

Private Cloud AI is an AI-optimised private cloud that HPE built together with NVIDIA. Preconfigured hardware: ProLiant servers, NVIDIA GPUs, networking and storage matched to AI workloads and scalable across several sizes.

On top sits a self-service layer where data scientists take tools and models without raising a request for every experiment.

What it is for

Organisations that want to do productive work with AI and whose data cannot leave the building. That is the actual use case: the public cloud’s way of working with a local estate’s control.

Why preconfigured is an argument

Building an AI platform yourself means reconciling GPU drivers, framework versions, network throughput and storage latency before a single model runs. That reconciliation is what has been done here in advance.

What to watch

GPUs are expensive and want to be busy. Before size and quantity are fixed, it should be clear how many teams share the platform and how allocation is governed. That is an operations question rather than a procurement one.

Who works with it

Karl Widmer

Senior System Engineer

Cloud
0.42

Aldo Gwerder

Senior System Engineer

Cloud
0.40

Daniel Stadelmann

Senior Solution Architect

Cloud
0.40
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