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Design Guide—Implementing a Digital Assistant with Red Hat OpenShift AI on Dell APEX Cloud Platform
Introduction Solution Concepts Solution Architecture and Requirements Solution Deployment
Introduction
Dell APEX Cloud Platform for Red Hat OpenShift
Object storage
Digital assistant deployment and configuration
Model serving environment
Data science project in Red Hat OpenShift AI
Project Workbench
LLM model preparation
Model deployment
Redis deployment
Document embeddings
Gradio deployment
Deployment summary
Solution execution Summary References Open-Source License

Data science project in Red Hat OpenShift AI

Home > AI Solutions > Artificial Intelligence > Guides > Design Guide—Implementing a Digital Assistant with Red Hat OpenShift AI on Dell APEX Cloud Platform > Data science project in Red Hat OpenShift AI

Data science project in Red Hat OpenShift AI

  • A data science project in Red Hat OpenShift AI is a logical grouping that uses the Red Hat OpenShift AI platform to develop, train, and deploy machine learning models.

    Create and configure data science project

    To create and configure a data science project navigate to the Create data science project page on the Red Hat OpenShift Data Science dashboard (Red Hat OpenShift Data Science dashboard  >  Data Science Projects > Create data science project > fill in the required fields [such as project name and description] > Create). 

    Figure 10.   Data science project creation

    For more information, see the Red Hat webpage.

    Within the data science project, you can add the following configuration options:

    • Workbenches: Development environments within your project where you can access notebooks and generate models.
    • Cluster storage: Storage for your project in your OpenShift cluster.
    • Data connections: A list of data sources that your project uses.
    •  Models and model servers: A list of models and model servers that your project uses.

    Figure 11.   Different components inside data science project