Jensen Huang states that the reason for extreme co-design is to distribute the workload to exceed the benefit of just increasing the number of computers.
AI Fact-Check
Source Videos (1)
Jensen Huang: NVIDIA - The $4 Trillion Company & the AI Revolution | Lex Fridman Podcast #494 - YouTube
Lex Fridman
Related Claims
Jensen Huang states the odds of 100,000 such AI agents building a company like NVIDIA are 0%.
Jensen Huang predicts that the core purpose of a software engineer's job, such as solving problems, teamwork, diagnosing, evaluating, innovating, and connecting dots, will not go away.
Jensen Huang states that NVIDIA started as an accelerator company, but the problem with accelerators is that the application domain is too narrow.
Jensen Huang states that people initially thought the amount of high-quality data would limit AI intelligence, but this pre-training scaling law showed larger models with more data result in smarter AI.
Jensen Huang states that in distributed computing at NVIDIA's scale, the CPU, GPU, networking, switching, and distributing the workload across computers are all problems.