Nvidia's platform versatility allows it to adapt quickly to multiple AI architectures, leading developers to optimize for Nvidia hardware due to its widespread availability. Jensen Huang's first post on X.com criticized closed models as 'single points of failure' and advocated for open models, emphasizing distillation and avoiding premature restrictions.
Nvidia's hardware dominance is reinforced by model competition, as no single AI lab has sufficient scale to justify custom chip design, maintaining Nvidia's negotiation power.