From 5778701665982ac4ff98807d96a22fe951f5a76c Mon Sep 17 00:00:00 2001 From: cpiehl1 <35833651+cpiehl1@users.noreply.github.com> Date: Tue, 11 May 2021 09:38:19 +0200 Subject: [PATCH] Demo submission: Kubeflow on AWS (#1501) * added readme * added links * added readme * added readme * Deleted the duplicated presentation proposal. * Added demo and repo links * Delete README.md Co-authored-by: Sophie H Ye --- contributions/demo/cpiehl-nacca/README.md | 15 +++++++++------ 1 file changed, 9 insertions(+), 6 deletions(-) diff --git a/contributions/demo/cpiehl-nacca/README.md b/contributions/demo/cpiehl-nacca/README.md index aab18c9a81..e1f0b0400b 100644 --- a/contributions/demo/cpiehl-nacca/README.md +++ b/contributions/demo/cpiehl-nacca/README.md @@ -1,4 +1,4 @@ -## Demo: Kubeflow on AWS +## Demo: Kubeflow Fairing on AWS ### Members Name: Carl Piehl @@ -13,10 +13,13 @@ Mail: nacca@kth.se Github: [patricia-naccachian](https://github.com/patricia-naccachian) -### Proposal: +### Topic: -We want to make a demo where we deploy a machine learning model on an AWS EKS cluster and explore some of the functionality offered by Kubeflow. We are not exactly sure how much we will be able to fit into the 3 minute demo but these things might be interesting to include: +In this demo we use Kubeflow fairing to train a machine learning model remotely on a kubernetes cluster. + +### Links: + +[Video demo](https://youtu.be/TBVCmU2jsTc) + +[Github repo](https://github.com/cpiehl1/kf-demo) -- Model serving and online prediction -- Kubeflow pipelines to automate training and validation -- Model monitoring \ No newline at end of file