What's the impact of using a GPU in the performance of serving a TensorFlow model?

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I trained a neural network using a GPU (1080 ti). The training speed on GPU is far better than using CPU.

Currently, I want to serve this model using TensorFlow Serving. I just interested to know if using GPU in the serving process has a same impact on performance?

Since the training apply on batches but inferencing (serving) uses asynchronous requests, do you suggest using GPU in serving a model using TensorFlow serving?

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