HF

Storage Buckets

Infrastructure service

by Hugging Face

Object storage for AI teams to hold models, datasets, checkpoints and artifacts, with per-TB pricing, Xet deduplication and a built-in CDN, without git overhead.

Find alternatives to Storage Buckets

What it does

• Model hosting

Features 5

• S3-compatible APILets existing S3 tooling such as AWS CLI, boto3 and s5cmd work with buckets.
• Filesystem mounts and hf:// pathsReaches bucket data via filesystem mounts, hf:// paths and volume mounts in Jobs and Spaces.
• CDN pre-warming regionsOptionally preselects CDN pre-warming regions to cache data closer to compute.
• Web, CLI and Python accessBuckets can be managed through the Hub web interface, the hf CLI or the Python API.
• Public or private visibilityBuckets can be public or private and visibility can be changed after creation.

Sources

Pricing

Pricing page · 13 Oct 2026

Storage page read 2026-10-13: "Base $12 /TB/mo" for public repositories and "$18 /TB/mo" for private, falling to $8 and $12 per TB at 500TB+; egress and CDN included.

Description

Official documentation · 13 Oct 2026

Storage page: "Store models, datasets, and artifacts with simple per-TB pricing. Built-in CDN, Xet deduplication, and no git overhead"; "hf buckets create" CLI.

What it does

Official documentation · 13 Oct 2026

Storage page: "Store models, datasets, and artifacts with simple per-TB pricing. Built-in CDN, Xet deduplication, and no git overhead"; "hf buckets create" CLI.

Sold within

Pricing page · 13 Oct 2026

Storage page sells per-TB pricing on its own with a Create a Bucket route.

Name

Official documentation · 13 Oct 2026

Name as published on the product page.

URL

Official documentation · 13 Oct 2026

Product page, read 2026-10-13.

Deployment

Official documentation · 13 Oct 2026

Hosted storage on Hugging Face's infrastructure, region chosen at bucket creation.

Interfaces

Official documentation · 13 Oct 2026

Hosted storage on Hugging Face's infrastructure, region chosen at bucket creation.

Also from Hugging Face

• Hugging Face Hub Platform

  Hosts and versions open models, datasets and demo applications, publicly or privately.

• Inference Endpoints Infrastructure service

  Deploys a model from the Hub to a dedicated managed endpoint, billed by the hour.

• Spaces Platform

  Hosts runnable demo applications for models on free or paid hardware.

• HuggingChat Application

  Chat app powered by open-source AI models with an Omni router that automatically selects the most suitable model, or lets users pick directly from over 100 open models.

• Inference Providers API service

  Marketplace connecting users to multiple third-party inference providers for hosted AI models, billed per input/output token with provider- and model-specific rates shown side by side.

• Hugging Face Jobs Infrastructure service

  Pay-as-you-go compute for running AI training, fine-tuning, synthetic data generation and batch inference jobs on Hugging Face's own CPU/GPU/TPU infrastructure via CLI or Python API.

• AutoTrain Platform

  AutoTrain provides a no-code interface for training machine learning models.

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