Kubeflow
What is Kubeflow?The Kubeflow project is dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable and scalable. Our goal is not to recreate other services, but to provide a straightforward way to deploy best-of-breed open-source systems for ML to diverse infrastructures. Anywhere you are running Kubernetes, you should be able to run Kubeflow. NotebooksKubef
GCP + GPUs 💙 Kubernetes (and Tensorflow)
When I wrote how to deploy Tensorflow on Kubernetes a couple of weeks ago, I took advantage of AWS as my cloud substrate. A reader commented and asked for instructions to setup the GPU cluster on the Google Cloud Platform. I said I would answer to Vikas, so here it is, a method to deploy Kubernetes with GPUs on the Google Cloud Platform. RequirementsTo replicate this post, you will need: Understan
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GitHub - IBM/tensorflow-kubernetes-art-classification: Train a TensorFlow model on Kubernetes to recognize art culture based on the collection from the Metropolitan Museum of Art
Deploying TensorFlow Models to Kubernetes on IBM Cloud
TensorFlow Object Detection on Azure — Part 2: Using Kubernetes to run distributed TensorFlow…
Tensorflow in Kubernetes in 88 MB
