Introducing AI hub and gen AI studio: The new command center for enterprise gen AI in Red Hat OpenShift AI

The world of gen AI is moving at lightning speed. For enterprises, navigating the flood of new large language models (LLMs), tools (like Model Context Protocol (MCP) servers), and frameworks can feel overwhelming. How do you choose the right model? How do you empower your teams to experiment and build with the latest innovations in AI without creating organizational barriers?

At Red Hat, we believe the future of AI is open, accessible, and manageable at scale. That's why we’re excited to announce 2 new consolidated dashboard experiences in Red Hat OpenShift AI 3.0: the AI Hub and the Gen AI studio.

These experiences are designed to streamline the entire gen AI lifecycle for enterprises by providing tailored components for the key personas innovating with AI within organizations: platform engineers and AI engineers.

What's new: A closer look

AI hub and gen AI studio work together to create a cohesive, end-to-end workflow for building production-ready AI solutions on a trusted, consistent platform.

AI hub: The platform engineer's control panel

The AI hub is the central point for the management and governance of gen AI assets within OpenShift AI. It empowers platform engineers to discover, deploy, and manage the foundational components their teams need. Key components include:

• Catalog: A curated library where platform engineers can discover, compare, and evaluate a wide variety of models. This helps overcome "model selection paralysis" by providing the data needed to choose the optimal model for any use case.
• Registry: A central repository to register, version, and manage the lifecycle of AI models before they are configured for deployment.
• Deployments: An administrative page to configure, deploy, and monitor the status of models running on the cluster.

Gen AI studio: The AI engineer's innovation workbench

While the AI hub provides control, the gen AI studio delivers a hands-on environment for AI engineers to consume, experiment, and build. It's where innovation takes shape. The studio includes:

• AI asset endpoints: A simple, clear view for AI engineers to see all the deployed and provisioned models and MCP servers (via config map) available for them to use within their projects.
• Playground: An interactive, stateless environment where AI engineers can experiment with deployed assets, test prompts, tune parameters, and evaluate performance for use cases like chat and Retrieval-Augmented Generation (RAG).

This integrated experimentation space is a game-changer. It moves testing out of disparate, local environments and into a standardized, collaborative platform, accelerating the entire development lifecycle. At the same time, it gives AI engineers clear visibility into which approved AI assets they can access and use, ensuring experimentation happens in line with enterprise policies.

Real-world value for the enterprise

By creating a unified experience for both platform and AI engineers, OpenShift AI 3.0 delivers powerful benefits that address common enterprise challenges.

• Streamlined model selection: The AI hub's catalog cuts through the market noise, allowing platform engineers to curate a set of enterprise-ready models that are the best fit for their business needs.
• Centralized and governed AI assets: The platform solves organizational fragmentation by creating a single source of truth for all gen AI assets. Platform engineers can manage, version, and provide intentional access to AI engineers, laying the foundation for full AI governance.
• Accelerated development cycles: The gen AI studio’s playground bridges the gap between discovery and integration. AI engineers can rapidly test and validate models and, with the surfacing of MCP servers, experiment with tool calling in a standardized way. This reduces deployment failures and gets AI-powered applications to production faster.

How to get started

Ready to bring centralized control and accelerated innovation to your AI workflows? The AI hub and gen AI studio are here to help you build your next generation of AI applications on a platform you can trust.

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What’s next?

This is just the beginning. We're continuing to evolve OpenShift AI to support the full spectrum of gen AI. In the future, you can expect AI assets to expand MCP Server management and include other high-priority components like agents, knowledge sources for RAG, and safety guardrails. 

We also plan to extend AI asset sovereignty and governance into the AI hub and gen AI studio to provide enterprises fine-grained control of AI asset quotas, permissions, and management to ensure compliance. 

The future of enterprise AI is open and collaborative, and OpenShift AI is the platform to get you there.