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Hugging Face

Machine-learning hub whose Spaces product hosts running applications — Gradio, Streamlit or an arbitrary Dockerfile — on CPU or rented GPU hardware.

A model registry that grew a host.

Hugging Face is best known as the registry where machine-learning models and datasets live, but its Spaces product makes it a hosting provider as well. A Space is a Git repository that the platform builds and runs as a live application, either through one of the supported SDKs — Gradio and Streamlit for Python, or a plain static site — or from a Dockerfile, which admits anything that fits in a container.

Hardware is where the money is. A basic CPU tier and a dynamically allocated GPU pool are free; paid tiers rent Nvidia cards by the hour. Account plans step from a personal subscription through team and enterprise tiers, adding storage, SSO, audit logs and access controls. What is free has narrowed: static Spaces remain free for everyone, while Spaces that run compute generally require a paid plan to create.

Worth knowing

This is not a general web host. Spaces are shaped around demonstrating a model, the Python SDKs assume that shape, and a free Space sleeps when idle.

Storage is billed on top of the plan and GPU rental is charged by the hour whether or not anyone visits, so an idle Space on rented hardware still costs money.

Identity

Reach
23,1892
Ownership
VC-backed
Status
Active
Wikidata
Q1089436041

Deployment

Deployment
Git, Container image4

Regions and law

Headquarters
United States

Other features

Test domain
Included4
Collaboration
Team members4

Automation

CLI
Official
API
Public

Sources

  1. 2026-09-09Wikidata
    www.wikidata.org/wiki/Q108943604
  2. 2026-09-07Reach
    majestic.com/reports/majestic-million
  3. 2026-08-02Entry price, Typical ceiling, Currencies, Billed, Pricing model
    huggingface.co/pricing
  4. 2026-08-01Free tier, Persistent storage, Runtimes, Deployment, Test domain, Collaboration
    huggingface.co/docs/hub/spaces-overview
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