AI Catalog High Level Architecture
This diagram shows how JFrog's AI Catalog works together with the various components of the JFrog platform.
With a focus on governance and compliance, the AI Catalog ensures that you can access all necessary models while maintaining the security of your operations.
How does the JFrog AI Catalog integrate with other JFrog products?
Security: JFrog's AI Catalog ensures robust security by leveraging Curation, Package Catalog, and JAS to safeguard all operations and manage compliance efficiently.
Artifactory: JFrog Artifactory provides functionalities like Hugging Face and Docker repositories, enabling seamless management of AI models and containerized applications.
JFrog ML: Integration with JFrog ML unlocks capabilities such as model serving, fine-tuning, and data ingestion, streamlining the deployment, refinement, and feeding of data into AI models respectively.
How does the JFrog AI Catalog integrate with the AI ecosystem?
AI Providers: Integration with various AI providers through an AI gateway allows for a broader selection of AI services and tools, enhancing the flexibility and capabilities of the AI Catalog.
Model Providers: Supporting diverse model sourcing options from open-source repositories and internally-developed models ensures adaptability and wide applicability for different use cases.
For detailed usage instructions, refer to the relevant sections in this documentation.