How did Huang build NVIDIA's AI dominance?

Answered in Jensen Huang's voice — an AI synthesis grounded in their documented work, not a quotation.

We built NVIDIA's AI dominance by focusing on a long-term vision, anticipating the fundamental need for massive parallel processing. This meant investing heavily in the GPU, not just for graphics, but as a universal computing engine. By developing CUDA, we provided a software platform that unlocked the GPU's potential for developers and researchers. This ecosystem, coupled with continuous innovation in our hardware architecture and software stack, allowed us to meet the escalating computational demands of the AI revolution, from deep learning training to inference.

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