AI+ Tool and Solution Catalogue

Reference No. A-0194
Solution Name Red Hat OpenShift AI (MLOps Development Platform)

Solution Description

Red Hat OpenShift AI is a comprehensive MLOps platform for building, deploying, and managing artificial intelligence (AI) and machine learning (ML) models at scale across the hybrid cloud. It provides a unified environment with a curated set of tools to streamline the entire machine learning and AI lifecycle, from data preparation and model training to production deployment and monitoring. By fostering collaboration between data scientists, software developers, and IT operations, it accelerates the delivery of AI-powered applications.

Solution Capabilities: 1. Enterprise AI platform Foundation: Built on Red Hat OpenShift, it provides a secure, scalable, and robust platform for both developing models and hosting the final AI applications. This ensures efficient GPU resource management and reliable operations across on-premises and hybrid cloud environments. 2. Intelligent Model Serving: Acts as the essential inference engine that connects models to applications. It offers high-performance, scalable serving for a broad range of models, including a wide array of LLMs, enabling you to bring generative AI applications to life. 3. End-to-End MLOps Lifecycle: Manages the entire AI/ML workflow in one place. It combines collaborative model development tools with automated pipelines for MLOps, a central registry for governance, and integrated monitoring to ensure models remain accurate and fair. 4. Powered by Open Source Innovation: Gives you the flexibility to use the best open-source tools and models without vendor lock-in. It allows you to leverage rapid community-driven advancements in AI while maintaining enterprise-grade stability and support.

Application Areas
Data Analysis and Prediction Workflow Management and Automation MLOps Development Platform

Use Case

OpenShift AI is a versatile platform applicable to a wide range of machine learning use cases: 1. Accelerating AI Adoption: Streamline the path from model experimentation to production by automating MLOps workflows, enabling faster AI application development and deployment of AI features. 2. Generative AI & Large Language Models (LLMs): Build and host powerful generative AI applications, such as Retrieval-Augmented Generation (RAG) systems that use company data to provide context-aware, accurate responses. 3. Powering 3rd Party Agentic AI Frameworks: Serve as the underlying container and model serving platform for advanced applications built with external agentic AI frameworks (e.g., LangChain, DIFY). You bring the agent framework, and OpenShift AI provides the robust environment to run the agents, their tools, and the LLMs they depend on. 4. Model Lifecycle Management: Implement robust governance with tools for model versioning, serving, and monitoring to ensure deployed models remain accurate, fair, and performant over time.

Support On-premise deployment Yes
Support standalone laptop No
Graphics Processing Unit (GPU) required No
Pricing Model
Subscription-Based Pricing – Monthly/Annual Subscription
Free Trial Yes
Company / Organisation Name Red Hat Limited
Email Address daniel.li@redhat.com
Telephone Number +85291492496
Website https://www.redhat.com/en
Address Suite 3507-8, 35th Floor Tower 2, The Gateway Harbour City, Kowloon, Hong Kong
Presentation Decks
Supplementary Files

Presentation Videos

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