Souheil Inati, PhD., Head of Field Data Science at Arrikto
Chase Christensen, Solutions Architect at Arrikto
In this HPE Developer Meetup, join Chase Christensen, Solutions Architect at Arrikto, and Souheil Inati, PhD., Head of Field Data Science at Arrikto to learn the basics of Kubeflow, the machine learning (ML) toolkit for Kubernetes dedicated to making deployments of ML workflows on Kubernetes simple, portable and scalable.
In the presentation, Chase and Souheil will explain what Kubeflow is, how it works, and what this brings to users; both data scientists and MLOps engineers. They’ll walk you through the code, explaining the technical merits of Kubeflow and its components. They’ll also point out what external add-ons are appropriate and why they may be important in certain use cases. They’ll also introduce you to Arrikto’s Enterprise Kubeflow distribution, a complete MLOps platform that reduces costs, while accelerating the delivery of scalable models from laptop to production.
Take a look at the Kubeflow website (https://www.kubeflow.org/) as well as Arrikto’s site (https://www.arrikto.com/) in advance and bring your questions and comments.