Tensorflow Serving enables creating a service around a Tensorflow-based ML model.
Although a streaming Klio job could be compared to serving a model with a service, Klio is meant for media processing pipelines, not necessarily serving a model.
Klio enables heavy file I/O for processing media, whether it’s using a model or not.
As well, Klio is agnostic to the type of ML model used (Tensorflow, PyTorch, scikit-learn, etc.).