Hugging Face Enterprise

Hugging Face Enterprise is an enterprise AI development and collaboration platform that helps organizations build, manage, deploy, and scale AI models with enterprise-grade infrastructure and security controls. They provide access to AI models, datasets, Spaces, inference services, advanced compute infrastructure, private repositories, and collaborative AI development tools designed for teams working on machine learning and generative AI projects. The platform supports enterprise capabilities such as Single Sign-On (SSO), audit logs, resource groups, token management, analytics, private storage, and advanced organization-wide security policies for secure AI operations. Hugging Face Enterprise is suitable for AI companies, enterprises, developers, researchers, ML engineers, data science teams, and organizations building and deploying large-scale AI solutions.

They also provide features like Inference Providers, advanced compute options, ZeroGPU quota boosts, private dataset viewers, centralized billing controls, repository analytics, and priority enterprise support for scalable AI collaboration and deployment. Organizations can use the platform to manage machine learning workflows, LLM development, dataset collaboration, AI experimentation, model hosting, inference operations, and secure AI infrastructure management while maintaining compliance-focused security standards. The platform is used by major organizations including NVIDIA, Google, IBM, Microsoft, OpenAI, Meta, AMD, Salesforce, Shopify, and Anthropic for enterprise AI development and deployment workflows. Their ecosystem focuses on combining AI model hosting, collaborative ML operations, enterprise security, scalable inference, and developer productivity into one unified AI platform.

And the best part? They offer Team plans starting at $20/user/month, while Enterprise plans provide flexible contract options, advanced security controls, scalable compute infrastructure, and dedicated enterprise support.