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The Fifth Elephant

Submit a talk on data

Submit talks on data engineering, data science, machine learning, big data and analytics through the year – 2019

##This space is open for submitting proposals on data engineering, data science, machine learning, big data and analytics through the year in 2019.

We will host data events round the year, in 2019. Talks for these conferences will be selected from here. Submit a proposal any time.

##Should you have queries, write to us on fifthelephant.editorial@hasgeek.com or call us on 7676332020

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The Fifth Elephant
The Fifth Elephant
The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more
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Sanket Sudake

@tripples

Machine Learning on Kubernetes using Kubeflow

Submitted May 16, 2018

Technical level: Intermediate

Deploying applications with containers is now a de-facto standard & Kubernetes is a preferred orchestrator for deploying containers. Using kubernetes to build/train/deploy machine Learning application is desired considering out-of-box feature which kubernetes provides like autoscaling, self-healing, rolling upgrade support etc.

Kubeflow is an open-source machine learning toolkit built on top of kubernetes which helps you in different stages of ML application development lifecycle. This talk provides an overview of Kubeflow and how it can be used for ML development with a sample demos.

Outline

  • Advantages of using Kubernetes for Machine Learning(ML) application
  • What is Kubeflow and purpose of using it
  • Deploying Kubeflow on Kubernetes with Ksonnet
  • Using Jupyterhub for model development
  • Using GPUs with Kubeflow
  • Training model using Kuberntes Custom Resource Definitions(CRD)
  • Distributed tensorflow on kubernetes with kubeflow
  • Serving models

Speaker bio

I work as Technical Lead at Infracloud Technologies. Recently, I started exploring different infrastrucutre related problems in Machine Learning space. I am also an active contributor to Openstack. My core interest areas are distributed systems and networking technologies. Prior to this he worked at Veritas as Linux Kernel Engineer.

Slides

https://docs.google.com/presentation/d/1aLgBEfGdMrNE7I3u6NOW2oZ32V8CUI_pwSdoxAy_DD0/edit?usp=sharing

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Hosted by

The Fifth Elephant
The Fifth Elephant
The Fifth Elephant - known as one of the best data science and Machine Learning conference in Asia - has transitioned into a year-round forum for conversations about data and ML engineering; data science in production; data security and privacy practices. more