We trace NVIDIA’s path from gaming graphics to the engine of modern AI, and we pull out practical lessons on focus, moats, and long-term thinking. We explain why CUDA, ecosystem control, and patient strategy created enduring advantage and where the next wave could go.

• origins of NVIDIA and early internet context 
• GPUs as parallel processing powerhouses 
• the leap from gaming to AI and cloud 
• CUDA as the developer moat and lock-in 
• market leadership in AI hardware and platforms 
• lessons on focus, conviction, and compounding 
• where NVIDIA moves next across robotics, cloud, healthcare

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