Nvidia CEO Jensen Huang has announced that his company’s AI chips are advancing at a rate surpassing Moore’s Law, the long-standing principle of computing progress. According to TechCrunch’s recent report, Huang states their latest data center superchip performs 30 times faster for AI tasks than previous generations. The CEO attributes this acceleration to Nvidia’s comprehensive approach, simultaneously developing architecture, chips, systems, libraries, and algorithms. Huang claims their AI chips have improved thousandfold over the past decade, significantly outpacing Moore’s Law’s traditional doubling of transistors every two years. The announcement comes as Nvidia introduces its GB200 NVL72 chip, designed to reduce costs for AI inference workloads. This development could particularly impact the accessibility of advanced AI models, which currently require substantial computing resources.