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ml/kubeflow-argo/README.md

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@@ -60,7 +60,7 @@ Or, if you don't want to install `gcloud` locally, you can bring up the [Cloud S
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### Set up a Kubernetes Engine (GKE) cluster
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Visit the [Cloud Console](https://console.cloud.google.com/kubernetes) for your project and create a GKE cluster.
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So that you don't have any Kubernetes pods stuck in "Pending" for lack of resources, give it at least 4 4-core nodes. You may need to [increase your Compute Engine API CPUs quota](https://console.cloud.google.com/iam-admin/quotas) before you do this.
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So that you don't have any Kubernetes pods stuck in "Pending" for lack of resources while you run the examples, consider giving it 4 4-core nodes. You may need to [increase your Compute Engine API CPUs quota](https://console.cloud.google.com/iam-admin/quotas) before you do this.
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(See the 'Cleanup' section below so that you don't get further charged for the cluster after you're done experimenting).
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<a href="https://storage.googleapis.com/amy-jo/images/kf-argo/gke_setup_start.png" target="_blank"><img src="https://storage.googleapis.com/amy-jo/images/kf-argo/gke_setup_start.png" width="600"/></a>

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