Hugging Face launched its enterprise platform with $20 per user monthly pricing, targeting organizations seeking production-scale AI deployment with enhanced security and compliance features.
The platform includes single sign-on integration, audit logging, and granular access controls through resource groups. Organizations can manage repository data location through regional controls and monitor usage via centralized analytics dashboards.
Enterprise customers receive 1TB private storage per organization member, with additional storage priced at $25 monthly per terabyte. The platform offers 5x increased ZeroGPU quota for all members and advanced compute options for improved scalability.
Security and compliance features
The enterprise tier provides centralized token management with custom approval policies and organization-wide security configurations. Companies can set default repository visibility and implement comprehensive access controls across their AI development workflows.
Private dataset viewer functionality enables collaboration on proprietary datasets while maintaining security boundaries. The platform supports inference provider billing with usage analytics and spending limit controls.
Hugging Face offers flexible contract options through direct sales engagement for larger organizations requiring customized deployments. Priority support from the Hugging Face team accompanies enterprise subscriptions.
The launch positions Hugging Face to compete directly with enterprise AI platforms from OpenAI and Anthropic in the growing organizational AI market. Enterprise features address common deployment barriers including compliance requirements and access management complexity.
The platform builds on Hugging Face's existing model repository and community ecosystem, extending capabilities for enterprise use cases requiring enhanced governance and security controls.
💬 Discussion
Sign in to join the discussion.
Sign in →No comments yet — be the first.