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Update Kubeflow Index Page #3755

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Merged
merged 5 commits into from
Jul 29, 2024
Merged

Update Kubeflow Index Page #3755

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7919ac8
Update Kubeflow Index Page
andreyvelich Jul 23, 2024
a2d5e7f
Update with the suggestions
andreyvelich Jul 25, 2024
8392887
Rename to tools and frameworks
andreyvelich Jul 25, 2024
2a59645
Update introduction.md
andreyvelich Jul 25, 2024
7b7ce63
Fix intro
andreyvelich Jul 26, 2024
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9 changes: 6 additions & 3 deletions content/en/_index.html
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Expand Up @@ -28,10 +28,13 @@
<div class="container">
<h3 class="section-head">What is Kubeflow?</h3>
<p class="mx-auto col-md-8 px-0">
The Kubeflow project is dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable and scalable.
Our goal is not to recreate other services, but to provide a straightforward way to deploy best-of-breed open-source systems for ML to diverse infrastructures.
Kubeflow makes artificial intelligence and machine learning simple, portable, and scalable.
We are an <i>ecosystem</i> of <a href="https://kubernetes.io/" target="_blank">Kubernetes</a>
based components for each stage in
<a href="/docs/started/architecture/#kubeflow-components-in-the-ml-lifecycle" target="_blank">the AI/ML Lifecycle</a>
with support for best-in-class open source <a href="/docs/started/architecture/#kubeflow-ecosystem" target="_blank">tools and frameworks</a>.
<br><br>
Anywhere you are running Kubernetes, you should be able to run Kubeflow.
Deploy <a href="/docs/started/installing-kubeflow/" target="_blank">Kubeflow</a> anywhere you run Kubernetes.
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I think we should move the "Deploy" within the link so it's clear what the link is.

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Sure

</p>
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7 changes: 4 additions & 3 deletions content/en/docs/started/introduction.md
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Expand Up @@ -7,9 +7,10 @@ weight = 1
## What is Kubeflow

Kubeflow is a community and ecosystem of open-source projects to address each stage in the
machine learning (ML) lifecycle. It makes ML on Kubernetes simple, portable, and scalable.
The goal of Kubeflow is to facilitate the orchestration of Kubernetes ML workloads and to empower
users to deploy best-in-class open-source tools on any Cloud infrastructure.
[machine learning (ML) lifecycle](/docs/started/architecture/#kubeflow-components-in-the-ml-lifecycle).
It makes AI/ML on Kubernetes simple, portable, and scalable. We are an _ecosystem_ of Kubernetes
based components for each stage in the ML Lifecycle with support for best-in-class
open source tools and frameworks.
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I think we can remove the "We are..." sentence, because it effectively repeats the first sentence.


Whether you’re a researcher, data scientist, ML engineer, or a team of developers, Kubeflow offers
modular and scalable tools that cater to all aspects of the ML lifecycle: from building ML models to
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