This article analyzes Nvidia's strategic evolution from a graphics chip company to a dominant force in AI, focusing on the development of its GPU architecture and CUDA software platform. It details how architectural innovations like unified shaders (G80) and specialized Tensor Cores (Volta, Hopper, Blackwell) enabled its GPUs to become foundational for deep learning and large language models. The report highlights CUDA as a critical competitive advantage that fostered a robust ecosystem for parallel computing and AI research.