Part 3/10:
Huang explored the parallels between the AI technologies for self-driving cars and those underlying large language models. Just as language models require substantial training capabilities, so do the AI systems that help vehicles comprehend the nuances of the physical environment. With the rise of AI in various sectors, Nvidia is establishing a robust infrastructure to support this new era. The unprecedented data rate generated by video requires expansive computing power, making Nvidia's data center capabilities critical to the future of driving and robotics.