Seldon Core

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:

Predict - Build and deploy supervised machine learning models created in any machine learning library or framework at scale using containers and microservices.
Recommend - High-performance user activity and content based recommendation engine with various algorithms ready to run out of the box.

Other features include:

Complex dynamic algorithm configuration and combination with no downtime: run A/B and Multivariate tests, cascade algorithms and create ensembles.
Command Line Interface (CLI) for configuring and managing Seldon Core.
Secure OAuth 2.0 REST and gRPC APIs to streamline integration with your data and application.
Grafana dashboard for real-time analytics built with Kafka Streams, Fluentd and InfluxDB.

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.

Get Started

It takes a few minutes to install Seldon on a Kubernertes cluster. Visit our install guide and read our tech docs.

Community & Support

Join the Seldon Users Group.
Register for our newsletter to be the first to receive updates about our products and events.
Visit our website, follow @seldon_io on Twitter and like our Facebook page.
If you're in London, meet us at TensorFlow London - a community of over 1200 data scientists that we co-organise.
We also offer commercial support plans and managed services.