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

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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.


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