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Nicolas Sauvage is betting on the boring parts of AI

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Why This Matters

Nicolas Sauvage's strategy highlights the importance of investing in the less glamorous, foundational aspects of AI infrastructure, which often take years to prove their value but can lead to significant breakthroughs. His focus on inference chips exemplifies how early bets on core technology can pay off as demand for AI capabilities continues to grow, even if the market initially perceives them as niche. This approach underscores the value of patience and foresight in tech investing, especially in areas that underpin future AI advancements.

Key Takeaways

Nicolas Sauvage believes it takes four years for the best bets to look obvious — thinking that he shared on stage last week at StrictlyVC’s San Francisco event, which TDK Ventures co-hosted.

It’s a theory he’s been working to prove since 2019, when he founded the corporate venture arm of the Japanese electronics giant, which is now managing $500 million across four funds. The AI chip startup Groq, valued at $6.9 billion during its most recent funding round last fall, is the highest-profile example of this thinking.

In 2020, well before the generative AI boom made infrastructure bets look obvious, Sauvage wrote a check into the company, which was founded by Jonathan Ross — one of the engineers who built Google’s Tensor Processing Units. Groq was focused from the start on inference: the computational heavy lifting that happens every time a model responds to a query. Ross had designed his chip by building the compiler first, stripping the architecture down until, as Sauvage describes it, “you can’t remove one part and have it still work.”

It might have looked niche to some, but knowing what he did about his parent company’s constraints, Sauvage saw asymmetry. Unlike consumer hardware, which has a natural ceiling, demand for inference keeps compounding with every new application and every new model. Sauvage couldn’t know then that demand for inference would explode this year, thanks to every AI agent that plans and acts across dozens of calls (where a single query used to suffice).

But in some ways, Ross got lucky, too. After all, a Japanese electronics conglomerate best known for magnetic tape is not, on its face, the most obvious investing partner. In fact, Sauvage describes TDK Ventures’ own existence as very unlikely. But after two back-to-back Stanford lectures — one making the case for corporate VC, one cataloguing every reason it fails — Sauvage, who is French and joined TDK in Silicon Valley through an acquisition, pitched the idea to higher-ups at TDK headquarters despite having no obvious standing to do so. (“I’m not Japanese. I don’t speak Japanese; I don’t live in Tokyo,” he told this editor.)

After refusing to take no for an answer, he finally received the green light in to build a fund whose mandate was to answer one question: What’s the next big thing for TDK, and what might kill it?

Image Credits:Slava Blazer for TechCrunch/StrictlyVC /

The portfolio he has since assembled is dotted with technologies that have become more widely interesting to VCs over the last year: solid-state grid transformers, sodium-ion batteries for data centers, alternative battery chemistries that sidestep the geopolitical fragility of lithium and cobalt.

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