Kubeflow’s 1.4 release lays the foundation for advanced ML metadata workflows | Kubeflow

[utterances-bot]

Kubeflow’s 1.4 release lays the foundation for advanced ML metadata workflows | Kubeflow

The Kubeflow 1.4 release lays several important building blocks for the use of advanced metadata workflows. A quick summary of 1.4’s top deliveries includes:

https://blog.kubeflow.org/kubeflow-1.4-release/

[jbottum]

I would like to thank all of the contributors and users that have strengthened the Kubeflow release process including: Kimonas Sotirchos (Arrikto), Rui Vasconcelos, Anna Jung (VMWare), Malini Bhandaru (Intel), David Van der Spek, Mathew Wicks, Thea Lamkin (Google), James Wu (Google), James Liu (Google) , Yuan Gong (Goolge), Andrey Velichkevich (Cisco), Pavel Dournov (Google), Jiaxin Shan (Byte Dance), Paul Van Eck (IBM), Animesh Singh (IBM), Shannon Bradshaw (Arrikto), Dan Sun (Bloomberg), Yuzhui Liu (Bloomberg), Willem Pienaar (Tecton/Feast), Stefano Fioravanzo (Arrikto), Yuan (Terry) Tang (Akuity), Juana Nakfour (IBM, Openshift), Johnu George (Nutanix), Suraj Kota (Amazon), Ken Koski (Canonical) , Jeff Fogarty (US Bank), Marlow Weston (Intel), Dominik Fleischmann (Canonical), along with many, many others, and of course Jeremy Lewi (Primer AI) , David Aronchick (Azure) for their vision and execution on Kubeflow.

[thesuperzapper]

For more information, see: https://www.kubeflow.org/docs/releases/kubeflow-1.4/