diff --git a/content/manuals/docker-hub/image-library/catalogs.md b/content/manuals/docker-hub/image-library/catalogs.md index 713df0628b..104543ffe4 100644 --- a/content/manuals/docker-hub/image-library/catalogs.md +++ b/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. \ No newline at end of file +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.