Name: Openshift 4 & Machine Learning with KubeFlow
Start: 2019-08-02T15:00:00+0530
End: 2019-08-02T15:30:00+0530

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When: August 2-3, 2019

Venue: Christ University - Bengaluru, India

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Openshift 4 & Machine Learning with KubeFlow

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The agenda of this presentation is to demostrate Machine Learning with our Hybrid Cloud Infrastructure Red Hat Openshift .

Infrastructure engineers will often spend time modifying deployments before a single model can be tested. These deployments are often bound to the clusters they have been deployed to, thus moving a model from a laptop to a cloud cluster is difficult without significant re-architecture.
The open source Kubeflow project addresses these concerns by enabling Github Machine Learning stacks on Kubernetes portable across environments.
This presentation will focus upon the ML model which consists the following components.
o Jupyter Hub
o Tensorflow Custom Resource (CRD) that can be configured to use CPUs or GPUs, and adjusted to the size of a cluster
o TF Serving container

Speakers

Rushil Sharma

Technical Support Engineer, Red Hat

Hi, I am a gamer, Love Hollywood and waiting for robots to become self-aware. Red Hat has always been my dream company and I have always been very intrigued by technology and started off by learning Linux pretty early.

Neeraj Bhatt

Technical Support Engineer, Red Hat

I am a technology enthusiast, Love to explore new tech and implement it. ML is one of my fav techs of today and integrating it with openshift is really amazing.

Friday August 2, 2019 3:00pm - 3:30pm IST
Classroom 105, Central Block, 1st floor

AI / ML

DevConf.IN'19

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Rushil Sharma

Neeraj Bhatt