Gradient supports deployment of models compatible with industry standards such as TensorFlow. There are a variety of optimizations you can perform on TensorFlow neural network graphs to reduce their size and latency for inference. Because we use TF Serving for TensorFlow models, we are able to support deployment of these optimized graphs.
Gradient also supports any models pruned, quantized, etc., using third-party tools. You can leverage these tools outside of Gradient (e.g., import an optimized model) or as an automated step in your machine learning pipeline. OpenVINO is an example of a popular optimization framework that is supported on Gradient.