Nvidia: The CUDA Moat

In 2006 Nvidia shipped a software platform almost nobody asked for, and for most of a decade it looked like a costly distraction. Competitors had capable silicon, deeper pockets, and a market that seemed to be all about gaming and raw hardware. Nvidia kept funding documentation, libraries, and developer support for a niche tool used mostly by academics. Then deep learning arrived, and the quiet bet collided with the biggest compute boom in history.

For founders and operators, this is a case about where durable advantage actually lives when the obvious layer commoditizes. It sharpens the decision of what to invest in years before the payoff is visible, and how to tell when you are building habit and lock-in versus just spending. If you run anything other people build on top of, this one forces you to look hard at the layer you may be neglecting right now.