Red Hat OpenShift AI Feature Store

What Red Hat OpenShift AI Feature Store is

Red Hat OpenShift AI Feature Store provides reusable machine-learning features that teams can push and retrieve for model training and inference. It is based on the open-source Feast project and runs within self-managed OpenShift AI, which depends on Red Hat OpenShift being installed first. A cluster administrator enables it through the OpenShift AI Operator and creates an instance in a data science project.

The default local provider uses a SQL registry or local file, a Parquet offline store, and a SQLite online store. Its online container exposes a REST API inside the OpenShift cluster. The documentation also describes PostgreSQL for the online store and S3 for the registry, while Feast covers additional store options. The Feature Store supports online and offline stores, point-in-time joins, feature monitoring, and both serving modes. OpenShift AI is intended for data scientists, AI engineers, developers, and IT operations teams. Red Hat describes deployments across on-premise, edge, and disconnected environments. Pricing is on request; subscriptions offer Standard (8x5) or Premium (24x7) support SLAs. A 60-day self-supported OpenShift AI Self-Managed trial is available.