We are happy to announce that **Charmed Kubeflow 1.7 is now available in Beta**. Kubeflow is a foundational part of the [MLOps ](https://ubuntu.com/blog/what-is-mlops)ecosystem that has been evolving over the years. With Charmed Kubeflow 1.7, users will benefit from the ability to run serverless workloads and perform model inference regardless of the machine learning framework they use.
We’re looking for data scientists, ML engineers and developers to take the Beta release for a drive and share their feedback! Our blog is available if you want to read more.
Join us live: tech talk on Charmed Kubeflow 1.7
By the way, if you’ve got no plans tonight, Canonical’s MLOps will host a live stream about Charmed Kubeflow 1.7 Beta. Together with Daniela Plasencia and Noha Ihab, we will continue the tradition that started with the previous release. We will answer your questions and talk about:
- The latest release: Kubeflow 1.7 and how our distribution handles it
- Key features covered in Charmed Kubeflow 1.7
- The differences between the upstream release and Canonical’s Charmed Kubeflow
The live stream will be available on both LinkedIn and Youtube, so pick your platform and meet us there.
Please be mindful that this is not a stable version, so there is always a risk that something might go wrong. Save your work to proceed with caution. If you encounter any difficulties, Canonical’s MLOps team is here to hear your feedback and help you out. Since this is a Beta version, Canonical does not recommend running or upgrading it on any production environment.