Skip to navigationSkip to main contentSkip to right columnADVERTISEMENTLawrence Nga, The Motley FoolSat, June 20, 2026 at 3:10 PM GMT+2 4 min readNvidia's (NASDAQ: NVDA) dominance has created a strange problem for its competitors, yet building a competing artificial intelligence (AI) chip is no longer enough to catch up. Even if a rival develops a faster processor at a lower price -- already extremely difficult-- it still faces a much bigger challenge: convincing developers to leave Nvidia's ecosystem.That's because Nvidia's most important product may not be a chip at all. It is the software platform that sits behind it. Understanding that distinction could help investors better appreciate why Nvidia continues to dominate the AI market.Missed Nvidia in 2009? This Rare Signal Is Flashing Again. In 2009, a "Double Down" signal flashed for a little-known chipmaker called Nvidia. For the first time in years, that same "Total Conviction" signal is flashing for a company 1/100th the size of Nvidia. Continue »Image source: Getty Images.Investors may be thinking about Nvidia the wrong way.Most investors view Nvidia as a semiconductor company. That makes sense. The company's graphics processing units, or GPUs, have become the workhorses powering everything from ChatGPT to self-driving technology. But focusing only on the hardware risks missing the bigger picture.A useful comparison may be Apple. People don't buy iPhones simply because of the hardware. They buy into an ecosystem of apps, software, services, and tools that work together seamlessly. The ecosystem is what keeps users coming back.Increasingly, Nvidia appears to be following a similar playbook.CUDA is Nvidia's hidden moatAt the center of Nvidia's ecosystem is a software platform called CUDA.Most consumers have never heard of it. Yet CUDA may be one of the most valuable assets in the entire AI industry.CUDA allows developers to write software that runs efficiently on Nvidia hardware. Over the past two decades, researchers, engineers, universities, and technology companies have developed countless AI tools based on it.Unsurprisingly, many of the world's most advanced AI applications today are optimized for Nvidia's platform. That's an important point to note, because developers rarely want to rebuild years of work from scratch.The result is a powerful network effect. The more developers use CUDA, the more valuable the ecosystem becomes. And the more valuable the ecosystem becomes, the more attractive Nvidia's hardware becomes. And that convinces more developers that CUDA software is vital to their work.The result of this positive flywheel is an ever-growing switching cost for customers.Terms and Privacy PolicyEU DSA contactPrivacy & Cookie SettingsMore Info