Canonical, the publisher of Ubuntu, announces the general availability of Charmed Kubeflow 1.7 🎉

Charmed Kubeflow is an open-source, end-to-end MLOps platform that can run on any cloud, including hybrid cloud or multi-cloud scenarios.

This latest release offers the ability to run serverless machine learning workloads and perform model serving, regardless of the framework that professionals use. This new capability increases developer productivity by reducing routine tasks and helping organizations lower operational costs. It unburdens developers from explicitly describing the infrastructure underneath.

Why download Charmed Kubeflow 1.7?

• The latest enhancements are stable: no bugs or risks for you.
• Access to new deep learning frameworks such as PaddlePaddle.
• Simplifying the optimization of intensive computing workloads.
• Running serverless machine learning workloads, guaranteeing less time spent on the infrastructure.
• Simplified log access, a faster route to better performance.

Learn More about the release:
https://ubuntu.com/blog/kubeflow-1-7-available

Share your feedback on Github: https://github.com/canonical/bundle-kubeflow

Share your feedback on Discourse: https://discourse.charmhub.io

Key moments:

0:20 What is Charmed Kubeflow?

0:45 Charmed Kubeflow Roadmap

01:23 What is new in this release?

02:15 Getting started with AI and Kubeflow

03:06 Charmed Kubeflow use cases

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For more information visit https://www.ubuntu.com and https://www.canonical.com

#machinelearning #ubuntu #mlops #canonical #opensource