
By Farhan Ali • June 23, 2025
Nvidia, the trillion-dollar GPU titan, has quietly become one of the most active investors in the AI startup space, participating in at least 49 known funding rounds across the last two years.
This surge in direct startup backing reflects a clear strategy: Nvidia doesn’t just want to supply the tools of AI—it wants to embed itself in every layer of the AI product ecosystem.
Where the Money Goes
According to tracking by LinkedIn and SemiAnalysis, Nvidia has funded startups in categories including:
- Foundation models (e.g., Mistral, Cohere, Perplexity AI)
- AI agents and orchestration tools
- Robotic automation (including humanoid subsystems)
- AI-generated video (Runway, Pika, Synthesia)
- Edge AI and inference optimization
- Enterprise infrastructure (e.g., Modular, Together AI)
Many of these startups also use Nvidia software platforms like CUDA, TensorRT, and DGX Cloud, creating a symbiotic ecosystem.
Strategy: Vertical Ecosystem Lock-In
“Nvidia isn’t just selling picks and shovels—it’s buying the mines,” said Dylan Patel, chief analyst at SemiAnalysis.
(Source: LinkedIn Insights, SemiAnalysis)
The funding spree allows Nvidia to:
- Ensure GPU demand from early-stage startups
- Build long-term loyalty to its hardware stack
- Influence AI software architecture toward CUDA-compatible systems
- Create downstream business models beyond chip margins

Competitive Landscape
This move places Nvidia in direct competition with:
- VC firms like Sequoia, a16z, and Index Ventures
- Cloud providers like Microsoft and Google who are investing in their own LLM partners
- Foundries like TSMC trying to expand into co-design services
Nvidia’s unique advantage? It monetizes every AI training cycle—and now it’s monetizing the companies building those cycles too.

Final Thoughts
Nvidia’s investments signal a tectonic shift in venture dynamics. No longer just a vendor, it’s becoming an AI kingmaker—helping shape the roadmap for the next generation of AI giants.
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