Hugging Face
FundedCollaborative AI platform for building and deploying machine learning models
About Hugging Face
Hugging Face is an AI platform designed to facilitate collaboration within the machine learning community by providing access to an extensive repository of over 2 million models, datasets, and applications. The platform supports multiple data modalities including text, image, video, audio, and 3D, enabling enterprises to accelerate AI development and deployment. It offers both free public hosting and paid compute and enterprise solutions tailored for team collaboration with enterprise-grade security features such as single sign-on, audit logs, and private datasets.
Targeted primarily at enterprise organizations, Hugging Face enables data science and AI teams to build, share, and deploy large language models and other AI applications efficiently. Its unified API provides access to thousands of models from leading AI providers without additional service fees, simplifying integration and inference deployment. The platform’s enterprise offerings include priority support, resource management, and compliance readiness, making it suitable for organizations seeking scalable, secure, and collaborative AI infrastructure.
Key Capabilities
- ✓Access to 45,000+ AI models via unified API
- ✓Hosting and collaboration on public and private ML models
- ✓Enterprise-grade security with single sign-on and audit logs
- ✓Optimized inference endpoints with GPU support
- ✓Support for multiple data modalities including text and 3D
Integrations
Other AI & ML Platforms Vendors
View allRelated Buyer Guides
Independent evaluation frameworks for this category.
This profile was compiled by CIOPages from public sources with AI assistance, and may be incomplete or out of date. It is informational only and not an endorsement. Represent this vendor? or .