Lex Fridman Podcast

Lex Fridman × Jensen Huang

NVIDIA’s competitive unit has expanded from the GPU to the entire AI factory, co-designing computation, models, data, networking, memory, power, and cooling around modern workloads.CUDA’s ubiquitous install base remains the foundational moat, while four compute-driven scaling laws and falling token costs support demand for increasingly specialized infrastructure.Six-month model cycles versus three-year hardware cycles, plus power and supply-chain constraints, remain key execution risks as Huang describes a potentially much larger computing economy.