TFServingCache: A distributed LRU-cache for serving TensorFlow models in Kubernetes

Follow the full discussion on Reddit.
The tools for deployment of machine learning models keep getting better. However, I’ve found that most tools are lacking when it comes to serving a large number of TensorFlow models, e.g. a model per user. So I’ve built my own tool, called TFServingCache, which automatically loads and unloads models in a distributed cluster of TensorFlow Serving instances.

Comments

There's unfortunately not much to read here yet...

Discover the Best of Machine Learning.

Ever having issues keeping up with everything that's going on in Machine Learning? That's where we help. We're sending out a weekly digest, highlighting the Best of Machine Learning.

Join over 900 Machine Learning Engineers receiving our weekly digest.

Best of Machine LearningBest of Machine Learning

Discover the best guides, books, papers and news in Machine Learning, once per week.

Twitter