Deployment of the model can be different depending on the capabilities of the device. Some devices with extra compute can handle having the machine learning models run directly on the device. While others require assistance. In this chapter, we are going to deploy the model to a simple web service. With modern cloud web apps or Kubernetes these web services can scale to meet the needs of the fleet of devices. In the next chapter, we will show how to run the model on the device.
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