factual
Nvidia would be large even without the AI revolution
Even without deep learning, Nvidia would be very large because general-purpose computing has largely exhausted its scaling, and domain-specific acceleration via GPU+CUDA speeds applications 100x-200x across graphics, molecular dynamics, seismic processing, fluid dynamics, and structured data—the company's mission was accelerated computing broadly, with AI as one beneficiary.
factualpending
Speaker
Jensen HuangEvidence Quote
“the way to do that is through domain-specific acceleration. One of the domains that we started with was computer graphics, but there are many other domains.”
Source
Dwarkesh Patel Podcast - Jensen Huang – TPU competition, why we should sell chips to China, & Nvidia’s supply chain moat— Dwarkesh Patel PodcastCreated: 6/13/2026, 3:37:32 AM
My Notes
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