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Hands-On Serverless Deep Learning with TensorFlow and AWS Lambda by Rustem Feyzkhanov

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Traditional versus Serverless architecture using Lambda

Let's look at the difference between traditional and serverless architecture. The following diagram represents the deep learning API through traditional architecture:

In the above traditional architecture, you will not only have to handle the cluster itself, but you will also have to handle all the balancing of API requests. Also, you have to manage the Docker container with the code and libraries and find a way to deploy it using the container registry.

You need to have extensive knowledge of AWS to understand this architecture. Although it is not very difficult, it can be a real issue ...

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