Deploy¶

This section focuses on deploying real-world models. It contains the following documents:

• @{$distributed$Distributed TensorFlow}, which explains how to create a cluster of TensorFlow servers.
• @{$hadoop$How to run TensorFlow on Hadoop}, which has a highly self-explanatory title.
• The entire document set for TensorFlow serving, an open-source, flexible, high-performance serving system for machine-learned models designed for production environments. TensorFlow Serving provides out-of-the-box integration with TensorFlow models. Source code for TensorFlow Serving is available on Github.