This pattern demonstrates how Red Hat OpenShift Data Science and MLFlow can be used together to build an end-to-end MLOps platform. It demonstrates this using a credit card fraud detection use case.

This pattern is based on a demo implementation of an automated data pipeline for chest X-ray analysis previously developed by Red Hat. The pattern is modified to utilize Intel AMX feature.

This is extension of Multicloud GitOps pattern with additional application to show the value of using Intel AMX.

This is extension of Multicloud GitOps pattern with additional application to show the value of using Intel QAT.

This pattern is based on a demo implementation of an automated data pipeline for sepsis analysis previously developed by Red Hat.

This pattern helps you develop and deploy applications on an open hybrid cloud in a stable, simple, and secure way. It includes persistent storage for stateful applications.