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Q: What is a Bento? A: A Bento is a file archive with all the source code, models, data files and dependency configurations required for running a user-defined bentoml.Service, packaged into a standardized format. It is essentially the build process in traditional software development, where source code files are converted into standalone artifacts that are ready to deploy. BentoML optimizes the workflow both for interactive model development and for working with automated training pipelines. Bentos can be managed using Yatai, a bento registry which provides a platform for deploying large scale model serving workloads on Kubernetes. Yatai standardizes BentoML deployment and provides UI for managing all your ML models and deployments in one place, and enables advanced GitOps and CI/CD workflow. BentoML can also be integrated with Feast, an open source feature store for machine learning, to enable end-to-end MLOps pipelines, as well as with GRPC for additional setup. Source: rtdocs/guides/migration.html, rtdocs/integrations/feast.html, rtdocs/guides/snippets/grpc/additional_setup.html Powered by Bento Cloud.