# Introducing Storage Buckets on the Hugging Face Hub

DevFeed: [Introducing Storage Buckets on the Hugging Face Hub](<https://devfeed.tech/articles/introducing-storage-buckets-on-the-hugging-face-hub-7492.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/storage-buckets>)

Author: Lucain Pouget; Eliott Coyac; Adrien Carreira; Victor Mustar; Julien Chaumond; Quentin Lhoest; Pierric Cistac; Sylvestre Bcht; Hugo Larcher; Rajat Arya

Published: 2026-03-10T00:00:00Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [hugging face](<https://devfeed.tech/topics/hugging-face.md>), [xet](<https://devfeed.tech/topics/xet.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [distributed-training](<https://devfeed.tech/topics/distributed-training.md>), [Machine learning](<https://devfeed.tech/topics/machine-learning.md>), [cloud-infrastructure](<https://devfeed.tech/topics/cloud-infrastructure.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [announcement](<https://devfeed.tech/tags/announcement.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [distributed-training](<https://devfeed.tech/tags/distributed-training.md>), [hub](<https://devfeed.tech/tags/hub.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [storage](<https://devfeed.tech/tags/storage.md>), [training](<https://devfeed.tech/tags/training.md>), [xet](<https://devfeed.tech/tags/xet.md>)

## AI overview

The article introduces Storage Buckets on the Hugging Face Hub, a mutable S3-like storage option for machine-learning artifacts. Built on Xet, Buckets use chunking and deduplication to reduce redundant transfers, storage use, and enterprise billing, while pre-warming places frequently accessed data near distributed-training compute.

## Source excerpt

We're on a journey to advance and democratize artificial intelligence through open source and open science.