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Friday, January 25 • 2:00pm - 3:50pm
Machine Learning workflows on Kubernetes with Kubeflow

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As Machine Learning requires more and more computational power, scheduling the workload on top of a distributed compute-cluster becomes more attractive. Fortunately, Kubernetes and OpenShift is a great container orchestrator and Kubeflow is a set of tooling running on this platform to help data-scientists to focus on ML problems and not on managing resources. This workshop will guide you through the available components of Kubeflow that take your ML work from the experimentation phase to distributed training and finally serving a model for inference.

This workshop will be limited to 20 attendees. Please bring your own laptop with a recent version of the OpenShift client installed (preferably 3.10 at a minimum).

Speakers
avatar for Marcel Hild

Marcel Hild

Principal Software Engineer, Red Hat
Marcel Hild has 20+ years of experience in open source business and development. He co-founded a Linux consulting company, worked as a freelance developer, a Solution Architect for Red Hat and core Developer for Cloudforms, a Hybrid Cloud Management tool. Now he researches the topic... Read More →
avatar for Peter MacKinnon

Peter MacKinnon

Principal Software Engineer, Red Hat Inc.
Pete MacKinnon is a Principal Software Engineer in the AI Center of Excellence at Red Hat. He is actively involved in the open source Kubeflow project with Google and Microsoft engineers to bring TensorFlow machine learning workloads to container environments (Kubernetes and OpenShift... Read More →



Friday January 25, 2019 2:00pm - 3:50pm
Red Hat Lab - Q305

Attendees (50)