Note: TFoS is also a Yahoo open source project. The teams work together. https://github.com/yahoo/TensorFlowOnSpark

is tfos production-ready right now ? because i thought it was still experimental.

is it used inside Yahoo - because Vespa comes with its own tensor processing engine. I wondered who would use one over the other.

TensorFlow on Spark is for learning, Vespa is for serving. Where Vespa excels is in evaluating a learned model very quickly over lots of documents. We're working on providing support for running models learned with TensorFlow directly. For now people make the translation on their own.

I don't want to trigger any bot detection by voting all your comments up in a short amount of time. So, I will say thank you and mention that is is contributions from people like you that keep me coming back.

It is more like an alternative to tensorflow serving - it does not train models but is good at evaluating them and use the evaluation for ranking.