Summary: This post details a solution for distributed deep learning training for a High Energy Physics use case, deployed using cloud resources and Kubernetes. You will find the results for training using CPU and GPU nodes. This post also describes an experimental tool that we developed, TF-Spawner, and how we used it to run distributed TensorFlow on a Kubernetes cluster.
Topic: In this post, you will find an example of how to build and deploy a basic artificial neural network scoring engine using PL/SQL.
The views expressed in this blog are those of the authors and cannot be regarded as representing CERN’s official position.
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