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Hugging Face Spaces
NewVerified
Build and share AI apps without managing infrastructure.
Overview
Hugging Face Spaces is a free hosting platform for AI applications built with Gradio, Streamlit, or Docker. Developers can deploy machine learning models and demos instantly, share them publicly or privately, and collaborate with others. It eliminates infrastructure complexity while providing GPU resources for compute-intensive tasks.
Pros
- Deploy ML apps in minutes without server setup
- Free tier includes CPU and optional paid GPU compute
- Integrates directly with Hugging Face model hub
- Supports Gradio, Streamlit, and custom Docker containers
- Public sharing and private collaboration features included
✕ Cons
- Limited free GPU quota, paid GPUs required for heavy use
- Spaces may go dormant if inactive for extended periods
- Less control over infrastructure than self-hosted solutions
Key Features
One-click app deployment
GPU and CPU runtime options
Model hub integration
Public and private sharing
Gradio and Streamlit support
Docker container support
Use Cases
ML researchers sharing model demos and proofs of conceptTeams collaborating on AI application prototypesStudents building portfolio projects with live demosDevelopers hosting lightweight inference endpoints
Best For
ML researchers and engineersAI application prototypersOpen-source project maintainersData scientists building demos
Frequently Asked Questions
What is the cost of using Hugging Face Spaces?▾
Hugging Face Spaces offers free hosting for public applications with CPU resources. Paid upgrade options are available for private spaces and GPU acceleration, starting at around $7/month depending on compute needs.
How quickly can I deploy an application?▾
Deployment is straightforward—you can push code via Git or Docker, and Spaces automatically builds and deploys within minutes. No complex infrastructure setup is required, making it accessible even for developers new to cloud deployment.
Can I integrate models and APIs from other services?▾
Yes, Spaces integrates directly with Hugging Face's model marketplace and supports API calls to external services. You can also pull models from other sources and use libraries like transformers within your application.
What is the main limitation of Hugging Face Spaces?▾
The free tier has CPU-only resources and usage limits, which can lead to slow performance for compute-intensive tasks. For production workloads requiring consistent GPU access or high traffic, paid tiers or alternative hosting may be necessary.
Who should use Hugging Face Spaces?▾
Spaces is ideal for researchers, ML engineers, and developers who want to prototype and share AI models quickly without infrastructure overhead. It's also great for building demos, proof-of-concepts, and community-driven AI applications.
Pricing Plans
Free
Custom
- Public Space hosting
- CPU compute resources
- Community support
- Up to 48-hour inactivity timeout
ProMost Popular
$7/monthly
- Private Space hosting
- Upgraded CPU and GPU options
- No inactivity timeout
- Priority support
Business
$30/monthly
- Multiple private Spaces
- Advanced GPU acceleration
- Dedicated support
- Organization management
Enterprise
Custom
- Custom resource allocation
- Dedicated infrastructure
- SLA and priority support
- Custom integrations
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