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

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Cons

The disadvantages of the model on the S3 bucket are as follows:

  • We will get a slower start than in previous cases, since Lambda will need to download the model first
  • It should be noted that, though it happens only during cold start, during warm start, the model will already be in memory
  • You will need to make the S3 bucket upload all of your models as a part of your deployment, and add logic for managing the different models within the code

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