Jensen Huang rarely fires employees for mistakes, viewing the error as an expensive but valuable lesson the company has already paid for. Firing them would be discarding that investment, as the employee who made the mistake is now the least likely person to repeat it.
The 2017 introduction of "transformers" revolutionized AI. Instead of being trained on the specific meaning of each word, models began learning the contextual relationships between words. This allowed AI to predict the next word in a sequence without needing a formal dictionary, leading to more generalist capabilities.
Jensen Huang demands to know the absolute fastest possible production timeline, the "speed of light," irrespective of the initial astronomical cost. This forces suppliers to reveal their true physical limits, providing a powerful strategic baseline for decision-making beyond conventional quotes.
Jensen Huang's core strategy is to be a market creator, not a competitor. He actively avoids "red ocean" battles for existing market share, focusing instead on developing entirely new technologies and applications, like parallel processing for gaming and then AI, which established entirely new industries.
Facing bankruptcy in the 90s, NVIDIA couldn't afford to build a physical prototype for its make-or-break NV3 chip. The team relied entirely on simulation, a high-risk strategy that paid off and saved the company, ironically foreshadowing its future dominance in creating hardware for complex simulations.
When asked about AI's potential dangers, NVIDIA's CEO consistently reacts with aggressive dismissal. This disproportionate emotional response suggests not just strategic evasion but a deep, personal fear or discomfort with the technology's implications, a stark contrast to his otherwise humble public persona.
Huang eschews traditional hierarchy, engaging directly with employees at all levels and delivering feedback publicly. This "parallel processing" management style ensures rapid, simultaneous learning across the organization, mirroring the architecture of the GPUs his company builds and creating a uniquely flat structure for a company of its size.
While known for its GPUs, NVIDIA's true competitive moat is CUDA, a free software platform that made its hardware accessible for diverse applications like research and AI. This created a powerful network effect and stickiness that competitors struggled to replicate, making NVIDIA more of a software company than observers realize.