Open Data Hub: Build a platform for AI-as-a-service (AIaaS)
Collecting and understanding the data gathered through AI/ML workloads.
Collecting and understanding the data gathered through AI/ML workloads.
Learn how to deploy a coding copilot model using OpenShift AI. You'll also discover how tools like KServe and Caikit simplify machine learning model management.
In today's fast-paced IT landscape, the need for efficient and effective
Learn how to deploy and use the Multi-Cloud Object Gateway (MCG) from Red Hat OpenShift Data Foundation to support development and testing of applications and Artificial Intelligence (AI) models which require S3 object storage.
BERT, which stands for Bidirectional Encoder Representations from Transformers
This article explains how to use Red Hat OpenShift AI in the Developer Sandbox for Red Hat OpenShift to create and deploy models.
This article demonstrates how to register the SKlearn runtime as a Custom ServingRuntime, deploy the iris model on KServe with OpenDataHub, and apply authentication using Authorino to protect the model endpoints.