In a move that signals the growing importance of scalable storage for machine learning, Hugging Face has announced the acquisition of XetHub, a startup focused on version control for large datasets and machine learning models.
The deal, confirmed by both companies, will see XetHub's team joining Hugging Face to enhance its platform's capabilities in handling massive datasets and model repositories. XetHub's technology enables efficient versioning, branching, and merging of large binary files, which is crucial for modern AI workflows.
"By joining forces, we can make it easier for developers to manage datasets and models, ultimately accelerating the pace of AI innovation," said a representative from Hugging Face.
The acquisition underscores Hugging Face's strategy to become the central hub for machine learning assets, from code to models to data. Terms of the deal were not disclosed.
This integration is expected to improve the user experience for thousands of developers who rely on Hugging Face for their AI projects, offering more robust storage and version management features directly within the platform.