Hugging Face

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

huggingface.copricingstatustermsdocs

A model registry that grew a host.

Classification

Categories: Platform as a Service, GPU cloud
Operating system: Self-managed
Use cases: AI and LLM apps, Dashboards and admin panels, API backends, Learning and experiments, Side projects
Audience: Education and research, Startups, Enterprises, Solo and freelance

Tech stack

Runtimes: Python, Docker, Static files 4
GPU: GPU instances, Managed inference5
Persistent storage: no4

Pricing

Pricing model: Fixed tier3
Entry price: $15 to $50 a month 3
Typical ceiling: $150 to $500 a month3
Currencies: USD 3
Billed: Hourly, Monthly3
Free tier: Permanent4

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Founded, Headcount, Favorite, Parent, Metal, Runs on, CDN from, Control panel, Software, Specialised in, Shell, Managed databases, Backups, Starting price, Paid, Exit, Money back, Renewal multiple, Minimum contract, Payment, Regions, DPA, Energy claim, Certifications, Green Web directory, Domain registration, DNS hosting, Email hosting, CDN, Staging, Support, Hours, Tiering, Published SLA, MCP, Infrastructure as code

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: ↑23,189 2
Ownership: VC-backed
Status: Active
Wikidata: Q108943604 1

Deployment

Deployment: Git, Container image 4

Regions and law

Headquarters: United States

Other features

Test domain: Included4
Collaboration: Team members4

Automation

CLI: Official
API: Public

Sources

2026-09-09: Wikidata
www.wikidata.org/wiki/Q108943604
2026-09-07: Reach
majestic.com/reports/majestic-million
2026-08-02: Entry price, Typical ceiling, Currencies, Billed, Pricing model
huggingface.co/pricing
2026-08-01: Free tier, Persistent storage, Runtimes, Deployment, Test domain, Collaboration
huggingface.co/docs/hub/spaces-overview
2026-09-24: GPU
huggingface.co/docs/inference-endpoints/about

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Last reviewed 2026-08-12 · Updated 2026-09-24 · Listed since 2026-07-31Edit on GitHub This page as markdown

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