Academia Hub

Ask your university’s IT or Procurement Team to get in touch from a university-affiliated email address to initiate the subscription process.

Accelerate your university’s AI research, publication pipeline, and collaboration at scale

The Hugging Face Hub is where leading researchers and developers across academia and industry collaborate on AI throughout the whole research lifecycle.

Academia Hub brings that proven ecosystem to your university, giving your researchers everything they need to work securely, reproducibly, and at scale: compute, storage, collaboration, and governance, all managed through your institution.

With Academia Hub, you get university-level seat management and accounts for researchers, professors, and/or students.

Why Academia Hub: Built for the complete research lifecycle

Academia Hub scales with your research from early prototypes to large-scale published models while ensuring security, reproducibility, and seamless collaboration across your entire institution.

1. Store & version datasets, models, and results with 1TB private storage per seat.
2. Collaborate & review with co-authors and lab members in shared workspaces.
3. Prototype ideas using interactive Spaces and hosted notebooks.
4. Train & scale with managed GPUs and tracked runs.
5. Publish & share using model cards, DOIs, and dataset releases.
6. Preserve your work for reproducibility and future research. All backed by enterprise-grade infrastructure, institutional governance, and storage that grows with your needs.

Key features of Academia Hub

For researchers and students

• Storage: 1 TB private storage per seat (e.g., 400 seats = 400 TB) powered by Xet, purpose-built for versioning large AI models and datasets; expanded public storage; Dataset Viewer for private datasets.
• Hosting & demos: Spaces Hosting for scalable AI demos and applications powered by ZeroGPU (5× priority quota); Dev Mode with SSH/VS Code access for development.
• Compute: Priority GPU access (H100/H200) for training; managed runs with experiment tracking.
• Collaboration: Team workspaces with version control, peer review, and shared governance.
• Publishing: Share the research artifacts like models and datasets with the global AI community through citable releases with model cards, dataset cards, and DOIs.

For administrators

• Pricing: $10/seat/month (volume-based pricing); $2/seat/month compute credits included (top-ups available).
• Admin & security: University-level seat management for researchers, professors, and students; centralized administration; SSO with university domain.

For your research community

• Community & resources: Connect with peers; curated models/datasets/projects for academia.

How to get started

Researchers and students: Contact us to express interest in Academia Hub and help us connect with your university’s IT or Procurement Team.

IT or Procurement staff: Get in touch directly to set up your institution’s Academia Hub subscription or find out more about how your institution can benefit from Academia Hub.

Update on GitHub