Seldon Core is a machine learning platform that helps your data science team deploy models into production.
It provides an open-source data science stack that runs within a Kubernetes Cluster. You can use Seldon to deploy machine learning and deep learning models into production on-premise or in the cloud (e.g. GCP, AWS, Azure).
Seldon supports models built with TensorFlow, Keras, Vowpal Wabbit, XGBoost, Gensim and any other model-building tool — it even supports models built with commercial tools and services where the model is exportable.
It includes an API with two key endpoints:
Other features include:
Seldon is used by some of the world's most innovative organisations — it's the perfect machine learning deployment platform for start-ups and can scale to meet the demands of large enterprises.
It takes a few minutes to install Seldon on a Kubernertes cluster. Visit our install guide and read our tech docs.
Seldon is available under Apache Licence, Version 2.0
$ claude mcp add seldon-server \
-- python -m otcore.mcp_server <graph>