Nvidia is known for its artificial intelligence (AI) chips, but its most outstanding achievement is an enterprise framework that keeps the competition at bay. This barrier is built with both software and silicon.
For two decades, Nvidia has developed a "walled garden" similar to Apple's but focused on AI system developers. This ecosystem has ensured that Nvidia maintains its dominant position despite competition from other chipmakers.
The secret to this walled garden lies in CUDA, a software platform launched in 2007. CUDA enabled developers to run non-graphics software on Nvidia GPUs, including AI applications, which has been crucial to its success.
Over time, Nvidia has expanded its software offerings, creating specialized libraries that enable complex tasks to be performed at speeds faster than conventional processors. This strategy has made Nvidia a leader in the AI market.
Nvidia CEO Jensen Huang has described this strategy as "full-stack computing," highlighting hardware and software integration. This combination makes it difficult for customers to migrate to competing systems with different robust ecosystems. According to The Wall Street Journal, competition in the AI chip market is fierce, but Nvidia continues to dominate with a market share of nearly 90%. Companies like Google and Amazon are trying to develop alternatives, but the road is long.
Creating alternatives to CUDA is one of the main focuses of competition. Companies like Intel and AMD are investing in software and collaborating on open-source projects to offer solutions that can compete with Nvidia.
Despite these efforts, Nvidia continues to attract the majority of developers, thanks to its wide range of tools and support. This strengthens its position, as developers prefer a known and proven environment.
The AI chip market is growing, with projections to reach $400 billion annually by 2027. However, Nvidia continues to lead, supported by its integrated software and hardware ecosystem.
Competitors are investing in alternative chips and software development, but Nvidia has set a standard that is hard to beat. This "walled garden" is its greatest strength and primary defense against competitors.
Companies looking to compete with Nvidia must create efficient hardware and develop a software ecosystem that can rival CUDA. In the meantime, Nvidia continues expanding its AI market dominance.