We’re excited to announce that Charmed Kubeflow 1.10 Beta is now available! Kubeflow continues to be a core component of Canonical’s MLOps offering, closely aligned with upstream advancements. On top of all the upstream improvements, this new release brings exciting enhancements, including expanded support for profile management, high availability, and improved health monitoring.
Take a look at our release notes. Please note that they are still subject to change.
We invite data scientists, ML engineers, and developers to explore the new Beta release and share valuable feedback with us!
Join us live: tech talk on Charmed Kubeflow 1.10
Continuing our tradition, members of our product engineering team will host a live session this Thursday, March 27th, to discuss what’s new in Charmed Kubeflow 1.10. Join me, @kimwnasptd and @mvlassis , we will cover:
- A walkthrough of the latest release and our approach
- Highlights and key features introduced in Charmed Kubeflow 1.10
- How Charmed Kubeflow differs from the upstream version
- Any questions you have about MLOps, open source projects, or Canonical’s solutions
Remember to add this event to your calendar!
Let’s build it together!
This Beta gives you early access to cutting-edge ML innovations, along with an opportunity to influence the future of Charmed Kubeflow. Your feedback is crucial to making this release even better:
- Follow our step-by-step tutorial to test the new release
- Reach out with your questions about Charmed Kubeflow’s capabilities
- Report any bugs or issues you encounter
- Provide suggestions for improving our products
Please note: This Beta version is not intended for production use, and there may be potential risks involved. We encourage you to save your work regularly and proceed carefully. Canonical’s MLOps team is always ready to assist you with any feedback or issues you might have.