Exciting news! Check out the latest release of Kubeflow 1.9 Beta and give it a spin.

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Discover the Latest Release of Kubeflow 1.9 Beta!

Get ready to delve into the newest iteration of Kubeflow with the launch of version 1.9 Beta. It’s an exciting time as Canonical continues its tradition of delivering cutting-edge releases to its users. The Charmed Kubeflow beta has just been unleashed, and it’s awaiting your exploration. Are you prepared to take it for a spin?

We’re calling upon data scientists, ML engineers, MLOps experts, creators, and AI enthusiasts to be the early adopters of Charmed Kubeflow 1.9. Your feedback is invaluable, so please consider:

  • Testing out the beta release and sharing your experience
  • Engaging with us to address any queries about the product functionality
  • Reporting bugs or any encountered issues within Charmed Kubeflow 1.9 Beta
  • Providing suggestions for enhancing the product and the overall portfolio

Share your feedback with us

Check Out What’s Fresh in Kubeflow 1.9

As Kubeflow undergoes the CNCF’s graduation process from the incubation program, the community is focusing on various project aspects:

  • Enhancing the security features of the MLOps platform
  • Incorporating new functionalities into the project
  • Centralizing communication channels and fostering community growth

Emphasis on Security Measures

The latest update introduces the initial outcomes from the security working group. Notably, Network Policies have been highlighted as a key feature. These policies enable the regulation of traffic flow at the IP address or port level, bringing an added security layer to core services. This enhancement offers users enhanced network oversight and segmentation in alignment with prevalent enterprise security protocols.

Expanding ML Integrations within the Ecosystem

Kubeflow is purpose-built to collaborate seamlessly with other ML and data tools. The recent release introduces new integrations with prominent ML tools and libraries like BentoML for inference and Ray for LLM training. An enduring issue reported by Charmed Kubeflow users pertained to accessing MLflow when co-deployed with the MLOps platform. Charmed Kubeflow 1.9 resolves this challenge and provides users with clear guidance on leveraging MLflow.

Community Growth Initiatives

As an integral part of CNCF, the community strives to integrate more effectively into the ecosystem and facilitate new contributors to the project. An essential move made by the upstream community recently was transitioning to the CNCF Slack channel. Join the vibrant community there to engage with industry experts and expand your knowledge base.

Join Our Live MLOps Tech Talk!

Embark on a journey of discovery with the live tech talk featuring Canonical’s product engineering team. Scheduled for tomorrow on July 11, 2024, at 5 PM CET, Michal Hucko and Orfeas Kourkakis, Software Engineers at Canonical, will dive into Kubeflow updates, industry insights, and more. Mark your calendar to:

  • Explore the latest release and Canonical’s distribution handling
  • Uncover the key features in Charmed Kubeflow 1.9 across upstream and beyond
  • Decipher the differentiators between the upstream release and Canonical’s Charmed Kubeflow
  • Receive answers to your burning questions on MLOps, open source, or Canonical’s offerings

Don’t miss out on this enriching live session!

Linkedin livestream

Youtube livestream

Ready to experience Charmed Kubeflow 1.9? Dive in now!

Existing Charmed Kubeflow User?

Upgrading to the latest version will grant you access to the 1.9 beta. Follow our comprehensive guide outlining the upgrade steps. Remember, as this is a beta release, exercise caution as unforeseen issues may arise. The Canonical MLOps team is on standby to receive your feedback and provide assistance. It’s advisable not to deploy or upgrade the beta version in a production environment.

New to Charmed Kubeflow?

Welcome to the MLOps realm as you embark on this adventure! While starting with a beta release may pose some challenges, it presents an opportunity to contribute to product development and the open-source community. Refer to the getting started tutorial for prerequisites and follow the steps to deploy Kubeflow successfully:

juju deploy kubeflow –channel 1.9/beta –trust

Consult the documentation for further insights and configuration details.

Share Your Thoughts on Charmed Kubeflow 1.9

Your participation is crucial in shaping the future of Charmed Kubeflow 1.9. Joining the beta program not only exposes you to cutting-edge innovations but also empowers you to influence the product’s evolution. Let’s work together to enhance Charmed Kubeflow 1.9!

Share your feedback with us

Linkedin livestream

Youtube livestream

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