The Minutes of Jensen Huang on scaling https://minutesof.com/jensen-huang/on/scaling/ Everything Jensen Huang has said on scaling: 3 verbatim quotes between October 2024 and June 2026, each with a timestamp and a link to the recording it… en Fri, 23 Oct 2026 11:02:52 +0000 Huang says NVIDIA will quadruple Coherent's indium phosphide fab capacity in one year versus fifty years for o https://minutesof.com/q/42ca5bce-2ab2-4294-8b33-fffd7483deb9/ https://minutesof.com/q/42ca5bce-2ab2-4294-8b33-fffd7483deb9/ “We're gonna take almost one year to build a four x. Are you guys the scale up is incredible. That tells you about the incredible demand that we have for accelerated computing,” — Associated Press Tue, 16 Jun 2026 20:50:13 +0000 scaling Huang contrasts Moore's law (100x per decade) with current AI acceleration (1 million times per decade). https://minutesof.com/q/31d24717-9675-403b-a23d-dcc1924334ea/ https://minutesof.com/q/31d24717-9675-403b-a23d-dcc1924334ea/ “Remember, Moore's law was two times every 18, 10 times every five years, a 100 times every ten. Okay? But where are we now? A million times every ten years.” — Cisco Wed, 04 Feb 2026 04:34:47 +0000 scaling Huang says models may run 10,000 internal inferences before answering, including tree search and reinforcement https://minutesof.com/q/2f51a817-e755-400a-a901-e1b47d7aa397/ https://minutesof.com/q/2f51a817-e755-400a-a901-e1b47d7aa397/ “The idea that a model before it answers your answer had already done internal inference 10,000 times, it's probably not unreasonable. And it's probably done tree search, it's probably done reinforcement learning on that,” — BG2 Pod Sun, 13 Oct 2024 10:30:00 +0000 scaling