English

Scaling TensorFlow to 300 million predictions per second

Machine Learning 2021-09-21 v1 Performance

Abstract

We present the process of transitioning machine learning models to the TensorFlow framework at a large scale in an online advertising ecosystem. In this talk we address the key challenges we faced and describe how we successfully tackled them; notably, implementing the models in TF and serving them efficiently with low latency using various optimization techniques.

Cite

@article{arxiv.2109.09541,
  title  = {Scaling TensorFlow to 300 million predictions per second},
  author = {Jan Hartman and Davorin Kopič},
  journal= {arXiv preprint arXiv:2109.09541},
  year   = {2021}
}
R2 v1 2026-06-24T06:08:29.328Z