Summary

In this chapter, we introduced you to BentoML, a popular framework for serving machine learning models. We have shown how can you convert models into a Bento-supported format using the BentoML API. We have also shown you how can you create a service that can be served by exposing API endpoints to customers. You have also learned about Bento and have seen how it can help you to create an environment-independent service by packaging all the dependencies and data files inside a Bento.

In the next chapter, we will look at a cloud-based service that can help to serve a model.