GOTO 2019 • Using Kubernetes for Machine Learning Frameworks • Arun Guptaby 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 [...]
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#MachineLearning #k8s #kubernetes #TensorFlow #ApacheMXNet #Pytorch