TensorFlow Serving is a project by Google that deploys models to production environments. TensorFlow Serving offers the following advantages:
- High speed of inference with good latency
- Concurrency, providing good throughput
- Model version management, so models can be swapped without a downtime in production
These advantages make TensorFlow Serving a great tool for deployment to the cloud. TensorFlow is served by a gRPC server. gRPC is a remote procedure call system from Google. Since most of the production environments run on Ubuntu, the easiest way to install TensorFlow Serving is by using apt-get, as follows:
sudo apt-get install tensorflow-model-serving
It can also be compiled from a source in other environments. Due ...