Servables are the central abstraction in TensorFlow Serving. They are the underlying objects that clients use to perform computation (for example, a lookup or inference).
The size and granularity of a Servable is flexible. A single Servable might include anything from a single shard of a lookup table to a single model to a tuple of inference models. Servables can be of any type and interface, enabling flexibility and future improvements such as:
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