With the rising popularity of artificial intelligence (AI) applications, the demand for high-performance AI computing hardware has soared. Leveraging its well-established CUDA software ecosystem, NVIDIA has created a significant competitive edge—an advantage now clearly evident in the market success of its latest generation of AI computers and development tools. As NVIDIA’s core software ecosystem, CUDA has evolved over nearly two decades and now encompasses thousands of tools, compilers, and libraries. With hundreds of millions of devices worldwide integrated into this system, it has formed a powerful growth engine driven by the synergy of “installed base, developers, and ecosystem.” Developers build applications on the CUDA platform, fostering deep reliance on NVIDIA’s hardware and making it challenging to switch to alternative platforms. NVIDIA has also completed a comprehensive hardware strategy, covering all scenarios from cloud computing to end-user devices, and introduced innovations like NVFP4 to boost performance and energy efficiency. On the software front, NVIDIA has established a full-lifecycle AI service system, with the CUDA-X library becoming an industry standard for acceleration. Its deep integration with major cloud providers has made NVIDIA’s computing power the cornerstone of global AI infrastructure.