If you're deeply engrained in the Tensorflow ecosystem and want to deploy avariety of Tensorflow models in different modalities like NLP, recommender systems, and audio in addition to CV models, Tensorflow Serving may be a good choice.
It can be complex to setup and maintain and lacks features many users would consider table stakes (like pre- and post-processing which in many cases will need to be custom coded). Like several of the other servers listed here, it lacks depth in vision-specific functionality.
Choose Tensorflow Serving if: the Tensorflow ecosystem is very important to you and you're willing to put in the legwork to take advantage of its advanced feature set.
Inference turns any computer or edge device into a command center for your computer vision projects.
Inference turns any computer or edge device into a command center for your computer vision projects.