wehub-resource-sync
70 lines
2.8 KiB
Markdown
70 lines
2.8 KiB
Markdown
(kuberay-text-summarizer-rayservice-example)=
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# Serve a text summarizer on Kubernetes
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> **Note:** The Python files for the Ray Serve application and its client are in the [ray-project/serve_config_examples](https://github.com/ray-project/serve_config_examples) repository.
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## Step 1: Create a Kubernetes cluster with GPUs
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See [aws-eks-gpu-cluster.md](kuberay-eks-gpu-cluster-setup) or [gcp-gke-gpu-cluster.md](kuberay-gke-gpu-cluster-setup) or [ack-gpu-cluster.md](kuberay-ack-gpu-cluster-setup) to create a Kubernetes cluster with 1 CPU node and 1 GPU node.
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## Step 2: Install KubeRay operator
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Follow [this document](kuberay-operator-deploy) to install the latest stable KubeRay operator using the Helm repository.
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## Step 3: Install a RayService
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```sh
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# Create a RayService
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kubectl apply -f https://raw.githubusercontent.com/ray-project/kuberay/master/ray-operator/config/samples/ray-service.text-summarizer.yaml
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```
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* In the RayService, the head Pod doesn't have any `tolerations`. Meanwhile, the worker Pods use the following `tolerations` so the scheduler won't assign the head Pod to the GPU node.
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```yaml
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# Please add the following taints to the GPU node.
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tolerations:
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- key: "ray.io/node-type"
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operator: "Equal"
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value: "worker"
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effect: "NoSchedule"
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```
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## Step 4: Forward the port of Serve
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```sh
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# Step 4.1: Wait until the RayService is ready to serve requests.
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kubectl describe rayservices text-summarizer
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# Step 4.2: Get the service name.
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kubectl get services
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# [Example output]
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# text-summarizer-head-svc ClusterIP None <none> 10001/TCP,8265/TCP,6379/TCP,8080/TCP,8000/TCP 31s
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# text-summarizer-raycluster-tb9zf-head-svc ClusterIP None <none> 10001/TCP,8265/TCP,6379/TCP,8080/TCP,8000/TCP 108s
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# text-summarizer-serve-svc ClusterIP 34.118.226.139 <none> 8000/TCP 31s
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# Step 4.3: Forward the port of Serve.
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kubectl port-forward svc/text-summarizer-serve-svc 8000
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```
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## Step 5: Send a request to the text summarizer model
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```sh
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# Step 5.1: Download `text_summarizer_req.py`
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curl -LO https://raw.githubusercontent.com/ray-project/serve_config_examples/master/text_summarizer/text_summarizer_req.py
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# Step 5.2: Send a request to the Summarizer model.
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python text_summarizer_req.py
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# Check printed to console
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```
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## Step 6: Delete your service
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```sh
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kubectl delete -f https://raw.githubusercontent.com/ray-project/kuberay/master/ray-operator/config/samples/ray-service.text-summarizer.yaml
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```
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## Step 7: Uninstall your KubeRay operator
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Follow [this document](https://github.com/ray-project/kuberay/tree/master/helm-chart/kuberay-operator) to uninstall the latest stable KubeRay operator using the Helm repository.
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