Jensen Huang states that Moore's Law has largely slowed because Dennard scaling has slowed.

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.

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 if computation represents 50% of a problem and is sped up infinitely, the total workload is only sped up by a factor of two due to Amdahl's Law.

Jensen Huang states that intelligence is a commodity.