Saturday, November 5, 2022
HomeOperating SystemStudy MLOps: Kubeflow at OSXP 2022

Study MLOps: Kubeflow at OSXP 2022


When: 8-9 November 2022

The place: Sales space E32, OSXP Palais de Congres, Paris

Open Supply Expertise is the assembly place for the whole open-source software program business. It gathers greater than 4,500 professionals, permitting them to deep dive into open-source applied sciences, options and challenges in France and Europe. The occasion delves into subjects like AI/ML,  digital twins and Blockchain. Canonical goes to be current at OSXP Paris 2022, speaking about Charmed Kubeflow, the end-to-end MLOps platform.

Meet the staff at OSXP 2022

Study MLOps and how one can kickstart your AI/ML initiatives. Enterprises battle with information complexity, venture complexity, tooling alternative and rather more. Taking a mannequin from thought to MVP after which from MVP to manufacturing comes with completely different necessities. Throughout the occasion, you’ll be able to meet Canonical’s consultants and speak about all these and extra associated subjects: 

  • MLOps
  • Charmed Kubeflow: an end-to-end open-source MLOps platform
  • Actual use-case forMLOps
  • Demo of MLOps integration

A rising MLOps ecosystem

Charmed Kubeflow has a number of elements that permit information scientists to develop, practice and deploy machine studying fashions. Greater than a software, Canonical is engaged on constructing an ecosystem that allows builders to carry out optimised coaching inside one software.

Charmed Kubeflow permits rising MLOps integrations. It presents integrations with numerous options reminiscent of MLFlow, for mannequin registry, and Seldon, for inference. Throughout the occasion, we’ll demo a brand new integration. It comes with further options natively out there in Charmed Kubeflow. Are you curious?

Be taught extra about Charmed Kubeflow

RELATED ARTICLES

LEAVE A REPLY

Please enter your comment!
Please enter your name here

- Advertisment -
Google search engine

Most Popular

Recent Comments