hub: update catalogs (#22951)

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## Description

Update catalogs based on current Hub nav and initiatives.


https://deploy-preview-22951--docsdocker.netlify.app/docker-hub/image-library/catalogs/

## Related issues or tickets

ENGDOCS-2482

## Reviews

<!-- Notes for reviewers here -->
<!-- List applicable reviews (optionally @tag reviewers) -->

- [ ] Editorial review

---------

Signed-off-by: Craig <[email protected]>

Author: craig-osterhout

content/manuals/docker-hub/image-library/catalogs.md

@@ -1,5 +1,5 @@
 ---
-description: Explore specialized Docker Hub collections like the Generative AI catalog.
+description: Explore specialized Docker Hub collections like the generative AI catalogs.
 keywords: Docker Hub, Hub, catalog
 title: Docker Hub catalogs
 linkTitle: Catalogs
@@ -19,48 +19,42 @@ Docker Hub:
 - Accelerate development: Quickly integrate advanced capabilities into your
   applications without the hassle of extensive research or setup.
 
-The generative AI catalog is the first catalog in Docker Hub, offering
-specialized content for AI development.
+The following sections provide an overview of the key catalogs available in Docker Hub.
 
-## Generative AI catalog
+## MCP Catalog
 
-The [generative AI catalog](https://hub.docker.com/catalogs/gen-ai) makes it
-easy to explore and add AI capabilities to your applications. With trusted,
-ready-to-use content and comprehensive documentation, you can skip the hassle of
-sorting through countless tools and configurations. Instead, focus your time and
-energy on creating innovative AI-powered applications.
+The [MCP Catalog](https://hub.docker.com/mcp/) is a centralized, trusted
+registry for discovering, sharing, and running Model Context Protocol
+(MCP)-compatible tools. Seamlessly integrated into Docker Hub, the catalog
+includes:
 
-The generative AI catalog provides a wide range of trusted content, organized
-into key areas to support diverse AI development needs:
+- Over 100 verified MCP servers packaged as Docker images
+- Tools from partners such as New Relic, Stripe, and Grafana
+- Versioned releases with publisher verification
+- Simplified pull-and-run support through Docker Desktop and Docker CLI
 
-- Demos: Ready-to-deploy examples showcasing generative AI capabilities. These
-  demos provide a hands-on way to explore AI tools and frameworks, making it
-  easier to understand how they can be integrated into real-world applications.
-- Model Context Protocol (MCP) servers: MCP servers provide reusable toolsets
-  that can be used across clients, like Claude Desktop.
-- Models: Pre-trained AI models for tasks like text generation,
-  Natural Language Processing (NLP), and conversational AI. These models
-  provide a foundation for
-  AI applications without requiring developers to train models from scratch.
-- Applications and end-to-end platforms: Comprehensive platforms and tools that
-  simplify AI application development, including low-code solutions and
-  frameworks for building multi-agent and Retrieval-Augmented Generation (RAG)
-  applications.
-- Model deployment and serving: Tools and frameworks that enable developers to
-  efficiently deploy and serve AI models in production environments. These
-  resources include pre-configured stacks for GPUs and other specialized
-  hardware, ensuring performance at scale.
-- Orchestration: Solutions for managing complex AI workflows, such as workflow
-  engines, Large Language Model (LLM) application frameworks, and lifecycle management
-  tools, to help streamline development and operations.
-- Machine learning frameworks: Popular frameworks like TensorFlow and PyTorch
-  that provide the building blocks for creating, training, and fine-tuning
-  machine learning models.
-- Databases: Databases optimized for AI workloads, including vector databases
-  for similarity search, time-series databases for analytics, and NoSQL
-  solutions for handling unstructured data.
+Each server runs in an isolated container to ensure consistent behavior and
+minimize configuration headaches. For developers working with Claude Desktop or
+other MCP clients, the catalog provides an easy way to extend functionality with
+drop-in tools.
 
-> [!NOTE]
->
-> For publishers, [contact us](https://www.docker.com/partners/programs/) to
-> join the generative AI catalog.
+To learn more about MCP servers, see [MCP Catalog and Toolkit](../../ai/mcp-catalog-and-toolkit/_index.md).
+
+## AI Models Catalog
+
+The [AI Models Catalog](https://hub.docker.com/catalogs/models/) provides
+curated, trusted models that work with [Docker Model
+Runner](../../ai/model-runner/_index.md). This catalog is designed to make AI
+development more accessible by offering pre-packaged, ready-to-use models that
+you can pull, run, and interact with using familiar Docker tools.
+
+With the AI Models Catalog and Docker Model Runner, you can:
+
+- Pull and serve models from Docker Hub or any OCI-compliant registry
+- Interact with models via OpenAI-compatible APIs
+- Run and test models locally using Docker Desktop or CLI
+- Package and publish models using the `docker model` CLI
+
+Whether you're building generative AI applications, integrating LLMs into your
+workflows, or experimenting with machine learning tools, the AI Models Catalog
+simplifies the model management experience.