Hugging Face for Startups
Offers Hugging Face startup credits for teams building model-based products and experimentation.
Hugging Face for Startups refers collectively to the in-kind support channels operated by Hugging Face, the New York City-based open-source AI platform company founded in 2016 with a mission to democratize machine learning. The primary first-party program is the Community GPU Grants track, which allocates in-kind GPU compute — defaulting to ZeroGPU (Nvidia RTX Pro 6000 Blackwell, up to 96 GB GPU m…
Provides in-kind GPU compute credits for public AI and ML Spaces projects on the Hugging Face Hub, with additional Pro-account credits available to startups via partner accelerator programs.
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Guides for this application
All guides →TRL Levels Explained for Deeptech Founders
Learn what TRL levels mean, how to estimate technology readiness, and how TRL affects grants, EIC Accelerator, SBIR/STTR, funding stage, and application evidence.
DocumentsProof-of-Concept Data for Grants: Evidence Examples for Deeptech Applications
See how to present proof-of-concept data in grant applications, with examples for evidence registers, test logs, pilot data, and prior project proof.
Start hereStartup Funding Stages for Deeptech: From Lab to Scale
A deeptech funding roadmap that maps startup funding stages to TRL, grants, SBIR/STTR, EIC Accelerator, pilots, VC, and scale-up evidence.
BudgetGrant Budget Template for R&D Applications
Use this grant budget template to structure R&D costs, personnel, subcontractors, equipment, indirect costs, and budget justification for startup grant applications.
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