Definition
A fixed-term program that gives early-stage AI startups money, mentorship, and computing credits, usually for a small slice of equity or for nothing at all.
At a glance
- Cash programs take equity: Y Combinator (
$500K), AI2 (up to $600K), Techstars ($220K). - Big-tech programs take no equity and give credits instead: NVIDIA, AWS (up to $1M), Google.
- For AI startups, compute credits can be worth as much as cash, since training models is expensive.
- Entry is competitive: AWS accepted just 40 startups (under 2%) for its 2025 cohort.
The list
- Y Combinator — Most prestigious; cash, network, and Demo Day for a small equity stake. ~$500K invested. [1]
- AI2 Incubator — From the Allen Institute; deep co-building for AI-first founders. Up to $600K plus up to $1M in credits. [3]
- NVIDIA Inception — Largest AI startup network (19,000+ members); GPU credits, no equity. [2]
- AWS Generative AI Accelerator — Selective 8-week program; up to $1M in cloud credits, no equity. [4]
- Techstars — Global multi-city accelerator with AI in every cohort. ~$220K invested.
How to choose
Match the program to your biggest need right now. Want funding and introductions? Start with Y Combinator or Techstars. Want partners who build the product alongside you? Look at AI2. Is compute your biggest cost? The equity-free credit programs stretch your runway without giving up ownership.
Bottom line
There is no single best program, only the best fit for your stage and your biggest cost.