alirezadir / Production-Level-Deep-Learning

A guideline for building practical production-level deep learning systems to be deployed in real world applications.
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why cpu better ? #2

Closed linzehua closed 5 years ago

alirezadir commented 5 years ago

If cpu inference meets the requirements (e.g. latency), and we do not aim to do batch inference, cpu would be preferable as it would be cheaper and less overhead. Otherwise, we may go with GPU inference (especially in the case of batch inference).