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Hugging Face

The hub for sharing models, datasets, and apps, plus inference and enterprise controls.

Hugging Face is the collaboration platform where teams host, discover, and deploy machine-learning models, datasets, and Spaces. The open-source stack (Transformers, Diffusers, Datasets, and related libraries) sits next to paid compute, inference providers, and Team or Enterprise plans. In September 2026 the company said it intends to join forces with NVIDIA. NVIDIA’s own announcement describes an acquisition agreement and says the Hub will remain an open, multi-cloud, multi-accelerator platform.

License
Open source + commercialFreemium
Category
Developer Tools
Platforms
WebPythonAPI
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Features

Key capabilities
Model, dataset, and Spaces hostingTransformers, Diffusers, Datasets, and related librariesUnified inference providersInference Endpoints and GPU SpacesTeam and Enterprise access controlsMulti-cloud and multi-accelerator workflows

Use cases

Sharing and evaluating open modelsHosting datasets and demo SpacesTeam model registriesManaged inference

Research notes

Hugging Face is the default Hub for open models and datasets. Team plans start at $20 per user per month on the public site, and GPU compute is listed from $0.60 per hour. NVIDIA announced a $12.9303 billion acquisition agreement on 3 September 2026 and said the Hub will stay open and multi-cloud. Hugging Face’s homepage states an intention to join forces with NVIDIA. Close is not the same as close completed.

Strengths

  • Largest public catalog of models, datasets, and Spaces
  • Open-source libraries most ML teams already import
  • Paid path for private orgs, inference, and GPUs

Tradeoffs

  • Hub search, ranking, and ToS can change after the NVIDIA close
  • Enterprise security and residency still need a vendor review
  • Public Spaces quality varies widely
Ideal for: ML teams that already pull weights from the HubIdeal for: Orgs comparing a model registry with GitHub-only hostingIdeal for: Buyers watching the NVIDIA transaction before they deepen lock-in

FAQ

What is Hugging Face?

Hugging Face is a collaboration platform for machine-learning models, datasets, and demo apps (Spaces), plus an open-source library stack. Teams use the free Hub for sharing and paid Team, Enterprise, and compute products for private work.

Did NVIDIA buy Hugging Face?

NVIDIA announced a definitive agreement on 3 September 2026. Hugging Face’s homepage says it intends to join forces with NVIDIA. The deal still needs regulatory approval and a close date. Nothing in those posts says the Hub is closed or NVIDIA-only today.

What are alternatives to Hugging Face?

Compare GitHub for code hosting, and ChatGPT, Claude, or Gemini if you only need a hosted model API. For a model hub plus libraries, Hugging Face is the usual shortlist anchor.

Alternatives to Hugging Face

What is Hugging Face?

Hugging Face is the collaboration platform where teams host, discover, and deploy machine-learning models, datasets, and Spaces. The open-source stack (Transformers, Diffusers, Datasets, and related libraries) sits next to paid compute, inference providers, and Team or Enterprise plans. In September 2026 the company said it intends to join forces with NVIDIA. NVIDIA’s own announcement describes an acquisition agreement and says the Hub will remain an open, multi-cloud, multi-accelerator platform. Teams often evaluate it alongside GitHub and OpenAI Codex when comparing pricing, features, and fit for sharing and evaluating open models.

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