GOTO 2019 • Using Kubernetes for Machine Learning Frameworks • Arun Gupta

by Arun Gupta 53:13 239 views 90% Published 8 months ago

This presentation was recorded at GOTO Chicago 2019. #gotocon #gotochgo

Arun Gupta - Principal Open Source Technologist at AWS and CNCF Board Member

Kubernetes provides isolation, auto-scaling, load balancing, flexibility and GPU support. These features are critical to run computationally and data intensive and hard to parallelize machine learning models. Declarative syntax of Kubernetes deployment descriptors make it easy for non-operationally focused engineers to easily train machine learning models on Kubernetes.
This talk will explain why and how Kubernetes is well suited for training and running your machine learning models in production. Specifically it will show how to setup a variety of open source machine learning frameworks such as TensorFlow, Apache MXNet and Pytorch on a Kubernetes cluster.
Attendees will learn training, massaging and inference phases of setting up a Machine Learning framework on Kubernetes. Attendees [...]

Download slides and read the full abstract here:
#MachineLearning #k8s #kubernetes #TensorFlow #ApacheMXNet #Pytorch

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GOTO Berlin 2018

GOTO Berlin 2018

From 29/10/2018 to 02/11/2018 in Berlin, Germany