Jensen Huang on How I Built This with Guy Raz
NVIDIA: Jensen Huang. From near collapse to becoming the world’s biggest company
A polished NVIDIA origin-and-AI primer, but nearly all of its strongest material is covered more deeply elsewhere in the corpus, especially the Lex Fridman, Dwarkesh, and Only in America appearances. Regular followers can skip it; newcomers may appreciate the compact overview.
we observed that in a software program inside it there are just a few lines of code, maybe 10% of the code, does 99% % of the processing and that 99% of the processing could be done in parallel. However the other 90% of the code has to be done sequentially. It turns out that the proper computer the perfect computer is one that could do sequential processing and parallel processing not just one or the other. That was the big observation and we set out to build a company to solve computer problems that normal computers can't. And that's really the beginning of NVIDIA.
Jensen Huang traces NVIDIA's rise from a parallel-processing insight in gaming to CUDA, deep learning, and a broader computing platform. He presents robotics, digital biology, climate science, and accessible AI assistance as major next areas while emphasizing persistence, energy efficiency, and layered safety systems.