Hugging Face on JFrog Artifactory: An Enterprise Guide (and What Changes in June 2026)

The article provides a comprehensive guide for IT, security, and ML platform teams on integrating Hugging Face models with JFrog Artifactory, especially focusing on the changes required by June 2026. It explains the transition from legacy repository layouts to a new Machine Learning repository format, emphasizing the need for enterprises to adapt due to evolving Hugging Face platform dynamics and increasing AI adoption. Key challenges such as HTTP 429 rate limits in proxy environments and the limitations of Artifactory’s Xet protocol support are highlighted, alongside solutions like upgrading to Hugging Face Enterprise Plus for better rate limits and governance. The guide also discusses the benefits of Hugging Face’s Model Gateway for managing internal model registries with true content-addressed storage, overcoming limitations associated with Artifactory’s current integration. It suggests that while Artifactory is effective for universal artifact management, combining it with Hugging Face Enterprise Plus ensures a more robust architecture that addresses higher rate limits, organizational identity, and audit trails.

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