Skip to content
Stanford OnlineStanford Online

Stanford CS153 Frontier Systems | Jensen Huang from NVIDIA on the Compute Behind Intelligence

For more information about Stanford's online Artificial Intelligence programs, visit: https://stanford.io/ai Follow along with the course schedule and syllabus, visit: https://cs153.stanford.edu/ In a CS153 Frontier Systems lecture, the class hosts Jensen Huang, CEO of NVIDIA, who argues computing is being reinvented for the first time in 64 years as software shifts from prerecorded execution to real-time generation, with NVIDIA's extreme co-design across chips, compilers, networks, and systems delivering a million-fold speedup over the past decade versus Moore's Law's 100x. He walks through the architectural logic of Hopper (pre-training), Grace Blackwell NVLink72 (inference and decode), Vera Rubin (agents), and the upcoming Feynman generation built for swarms of agents and sub-agents, while pushing back on MFU as a misleading metric in favor of tokens-per-watt and real evals. Huang also defends open models like Nemotron, BioNemo, and Alpamayo as essential for safety, transparency, and democratizing AI across underserved languages and scientific domains, and forecasts compute energy demand growing roughly a thousandfold, making this the strongest market moment in history to invest in sustainable energy and grid upgrades. Guest Speaker: Jensen Huang founded NVIDIA in 1993 and has served since its inception as president, chief executive officer, and a member of the board of directors. Since its founding, NVIDIA has pioneered accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, and ignited the era of modern AI. NVIDIA is now driving the platform shift of accelerated computing and generative AI, transforming the world's largest industries and profoundly impacting society. Huang has been elected to the National Academy of Engineering and in 2026 was appointed to the President’s Council of Advisors on Science and Technology. He is a recipient of the Semiconductor Industry Association’s highest honor, the Robert N. Noyce Award; the IEEE Founder’s Medal; the Dr. Morris Chang Exemplary Leadership Award; and honorary doctorate degrees from Taiwan’s National Chiao Tung University, National Taiwan University, Oregon State University, Huazhong University of Science and Technology, and Linköping University. He has been named the world’s best CEO by Fortune, the Economist, and Brand Finance, as well as one of TIME magazine’s 100 most influential people. Prior to founding NVIDIA, Huang worked at LSI Logic and Advanced Micro Devices. He holds a BSEE degree from Oregon State University and an MSEE degree from Stanford University. Follow the playlist: https://youtube.com/playlist?list=PLoROMvodv4rN447WKQ5oz_YdYbS74M5IA&si=DOJ5amlyRdyMJBhG

Jensen Huangguest
May 13, 20261h 8mWatch on YouTube ↗

Episode Details

EPISODE INFO

Released
May 13, 2026
Duration
1h 8m
Channel
Stanford Online
Watch on YouTube
▶ Open ↗

EPISODE DESCRIPTION

For more information about Stanford's online Artificial Intelligence programs, visit: https://stanford.io/ai Follow along with the course schedule and syllabus, visit: https://cs153.stanford.edu/ In a CS153 Frontier Systems lecture, the class hosts Jensen Huang, CEO of NVIDIA, who argues computing is being reinvented for the first time in 64 years as software shifts from prerecorded execution to real-time generation, with NVIDIA's extreme co-design across chips, compilers, networks, and systems delivering a million-fold speedup over the past decade versus Moore's Law's 100x. He walks through the architectural logic of Hopper (pre-training), Grace Blackwell NVLink72 (inference and decode), Vera Rubin (agents), and the upcoming Feynman generation built for swarms of agents and sub-agents, while pushing back on MFU as a misleading metric in favor of tokens-per-watt and real evals. Huang also defends open models like Nemotron, BioNemo, and Alpamayo as essential for safety, transparency, and democratizing AI across underserved languages and scientific domains, and forecasts compute energy demand growing roughly a thousandfold, making this the strongest market moment in history to invest in sustainable energy and grid upgrades. Guest Speaker: Jensen Huang founded NVIDIA in 1993 and has served since its inception as president, chief executive officer, and a member of the board of directors. Since its founding, NVIDIA has pioneered accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, and ignited the era of modern AI. NVIDIA is now driving the platform shift of accelerated computing and generative AI, transforming the world's largest industries and profoundly impacting society. Huang has been elected to the National Academy of Engineering and in 2026 was appointed to the President’s Council of Advisors on Science and Technology. He is a recipient of the Semiconductor Industry Association’s highest honor, the Robert N. Noyce Award; the IEEE Founder’s Medal; the Dr. Morris Chang Exemplary Leadership Award; and honorary doctorate degrees from Taiwan’s National Chiao Tung University, National Taiwan University, Oregon State University, Huazhong University of Science and Technology, and Linköping University. He has been named the world’s best CEO by Fortune, the Economist, and Brand Finance, as well as one of TIME magazine’s 100 most influential people. Prior to founding NVIDIA, Huang worked at LSI Logic and Advanced Micro Devices. He holds a BSEE degree from Oregon State University and an MSEE degree from Stanford University. Follow the playlist: https://youtube.com/playlist?list=PLoROMvodv4rN447WKQ5oz_YdYbS74M5IA&si=DOJ5amlyRdyMJBhG

SPEAKERS

  • Jensen Huang

    guest

    Co-founder and CEO of NVIDIA, known for leading GPU and AI computing platform development.

EPISODE SUMMARY

In this episode of Stanford Online, featuring Jensen Huang, Stanford CS153 Frontier Systems | Jensen Huang from NVIDIA on the Compute Behind Intelligence explores jensen Huang explains AI-era co-design, agents, and compute bottlenecks ahead Huang argues computing is being reinvented for the first time since the IBM System/360 era as systems shift from pre-recorded software to continuously running, generative, context-aware AI and agents.

RELATED EPISODES

Stanford CS153 Frontier Systems | The Road Ahead: Resilience Required

Stanford CS153 Frontier Systems | The Road Ahead: Resilience Required

Stanford CS153 Frontier Systems | The Discipline of Delivering Value per Gigawatt

Stanford CS153 Frontier Systems | The Discipline of Delivering Value per Gigawatt

Stanford CS153 Frontier Systems | The AI Native Company: How One Founder Becomes a 1000x Engineer

Stanford CS153 Frontier Systems | The AI Native Company: How One Founder Becomes a 1000x Engineer

Stanford CS153 Frontier Systems | Scott Nolan from General Matter on Energy Bottlenecks

Stanford CS153 Frontier Systems | Scott Nolan from General Matter on Energy Bottlenecks

Stanford CS153 Frontier Systems | Ben Horowitz from a16z on Venture Capital Systems, Network Effects

Stanford CS153 Frontier Systems | Ben Horowitz from a16z on Venture Capital Systems, Network Effects

Stanford CS230 | Autumn 2025 | Lecture 9: Career Advice in AI

Stanford CS230 | Autumn 2025 | Lecture 9: Career Advice in AI

Get more out of YouTube videos.

High quality summaries for YouTube videos. Accurate transcripts to search & find moments. Powered by ChatGPT & Claude AI.