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As AI & machine learning become increasingly important to businesses, managing & scaling these applications pose unique challenges. Enter Kubeflow, a cloud native platform designed to orchestrate scalable, end-to-end, AI workflows on Kubernetes.
Join us to learn how Kubeflow can empower your organization to simplify, accelerate, and scale AI & machine learning solutions. This tech talk will cover:
- The functionality, design & components of Kubeflow
- How Kubeflow streamlines the deployment & management of machine learning models
- How Kubeflow democratizes the implementation of complex AI systems, making them accessible to a wider audience
- Prerequisites for running Kubeflow & a demo on how to get started
Our next installment is set to premiere a week from Tuesday, September 19th at 9:00AM PDT. If you are interested in more upcoming & on demand Tech Talks from the teams at Mirantis Labs, please visit [ Ссылка ]
#mirantis #k8s #kubernetes #ai #machinelearning
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Learn more about Kueflow: [ Ссылка ]
How to install Kubeflow: [ Ссылка ]
Install minikube for Kubeflow: [ Ссылка ]
Questions? Reach out to Julian directly: jhennig@mirantis.com
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Download Lens free today: [ Ссылка ]
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CHAPTERS
0:00 - Introducing today's Tech Talk topic & presenter
0:33 - What this Tech Talk will cover
1:11 - What is Artificial Intelligence & Machine Learning (AI/ML)?
8:14 - Why is Machine Learning relevant to AI?
14:05 - What is Kubeflow?
17:21 - How does Kubeflow work?
19:23 - Live Demo: How to install & setup Kubeflow using Lens & k0s
27:37 - Tech Talk Summary
29:56 - A look ahead to Pt. 3: Kubeflow deep dive
31:09 - A look at some of our upcoming Tech Talks
32:29 - Kubeflow installation steps
34:20 - How to deploy Kubeflow on minikube
34:58 - Outro
