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Hugging Face·Mar 10, 2026·v1.0·open source
Storage Buckets
Storage Buckets is a feature introduced by Hugging Face to provide mutable, S3-like object storage on the Hugging Face Hub. Designed for machine learning workflows, it allows users to store models, datasets, and artifacts without the overhead of version control. Built on the Xet storage backend, it offers efficient deduplication and fast data transfers.
Agentic AIInfrastructure
overview
Storage Buckets is a feature introduced by Hugging Face to provide mutable, S3-like object storage on the Hugging Face Hub. Designed for machine learning workflows, it allows users to store models, datasets, and artifacts without the overhead of version control. Built on the Xet storage backend, it offers efficient deduplication and fast data transfers.
key features
- 01Mutable, S3-like object storage
- 02Efficient deduplication with Xet backend
- 03Fast data transfers with built-in CDN
- 04No version control overhead
- 05Integration with Hugging Face Hub
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