mirror of https://github.com/docker/docs.git
hub: update catalogs (#22951)
<!--Delete sections as needed --> ## 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 <craig.osterhout@docker.com>
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---
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description: Explore specialized Docker Hub collections like the Generative AI catalog.
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description: Explore specialized Docker Hub collections like the generative AI catalogs.
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keywords: Docker Hub, Hub, catalog
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title: Docker Hub catalogs
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linkTitle: Catalogs
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@ -19,48 +19,42 @@ Docker Hub:
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- Accelerate development: Quickly integrate advanced capabilities into your
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applications without the hassle of extensive research or setup.
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The generative AI catalog is the first catalog in Docker Hub, offering
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specialized content for AI development.
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The following sections provide an overview of the key catalogs available in Docker Hub.
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## Generative AI catalog
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## MCP Catalog
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The [generative AI catalog](https://hub.docker.com/catalogs/gen-ai) makes it
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easy to explore and add AI capabilities to your applications. With trusted,
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ready-to-use content and comprehensive documentation, you can skip the hassle of
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sorting through countless tools and configurations. Instead, focus your time and
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energy on creating innovative AI-powered applications.
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The [MCP Catalog](https://hub.docker.com/mcp/) is a centralized, trusted
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registry for discovering, sharing, and running Model Context Protocol
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(MCP)-compatible tools. Seamlessly integrated into Docker Hub, the catalog
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includes:
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The generative AI catalog provides a wide range of trusted content, organized
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into key areas to support diverse AI development needs:
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- Over 100 verified MCP servers packaged as Docker images
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- Tools from partners such as New Relic, Stripe, and Grafana
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- Versioned releases with publisher verification
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- Simplified pull-and-run support through Docker Desktop and Docker CLI
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- Demos: Ready-to-deploy examples showcasing generative AI capabilities. These
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demos provide a hands-on way to explore AI tools and frameworks, making it
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easier to understand how they can be integrated into real-world applications.
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- Model Context Protocol (MCP) servers: MCP servers provide reusable toolsets
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that can be used across clients, like Claude Desktop.
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- Models: Pre-trained AI models for tasks like text generation,
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Natural Language Processing (NLP), and conversational AI. These models
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provide a foundation for
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AI applications without requiring developers to train models from scratch.
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- Applications and end-to-end platforms: Comprehensive platforms and tools that
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simplify AI application development, including low-code solutions and
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frameworks for building multi-agent and Retrieval-Augmented Generation (RAG)
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applications.
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- Model deployment and serving: Tools and frameworks that enable developers to
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efficiently deploy and serve AI models in production environments. These
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resources include pre-configured stacks for GPUs and other specialized
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hardware, ensuring performance at scale.
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- Orchestration: Solutions for managing complex AI workflows, such as workflow
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engines, Large Language Model (LLM) application frameworks, and lifecycle management
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tools, to help streamline development and operations.
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- Machine learning frameworks: Popular frameworks like TensorFlow and PyTorch
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that provide the building blocks for creating, training, and fine-tuning
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machine learning models.
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- Databases: Databases optimized for AI workloads, including vector databases
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for similarity search, time-series databases for analytics, and NoSQL
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solutions for handling unstructured data.
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Each server runs in an isolated container to ensure consistent behavior and
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minimize configuration headaches. For developers working with Claude Desktop or
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other MCP clients, the catalog provides an easy way to extend functionality with
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drop-in tools.
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> [!NOTE]
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>
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> For publishers, [contact us](https://www.docker.com/partners/programs/) to
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> join the generative AI catalog.
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To learn more about MCP servers, see [MCP Catalog and Toolkit](../../ai/mcp-catalog-and-toolkit/_index.md).
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## AI Models Catalog
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The [AI Models Catalog](https://hub.docker.com/catalogs/models/) provides
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curated, trusted models that work with [Docker Model
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Runner](../../ai/model-runner/_index.md). This catalog is designed to make AI
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development more accessible by offering pre-packaged, ready-to-use models that
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you can pull, run, and interact with using familiar Docker tools.
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With the AI Models Catalog and Docker Model Runner, you can:
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- Pull and serve models from Docker Hub or any OCI-compliant registry
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- Interact with models via OpenAI-compatible APIs
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- Run and test models locally using Docker Desktop or CLI
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- Package and publish models using the `docker model` CLI
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Whether you're building generative AI applications, integrating LLMs into your
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workflows, or experimenting with machine learning tools, the AI Models Catalog
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simplifies the model management experience.
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