---
格式版本: 2
标题: "Playlist | Physical AI Days Conference Sessions"
原文链接: "https://www.nvidia.com/gtc/sessions/physical-ai-days"
发布日期: "2026-08-14"
发布时间校准状态: "found"
发布时间需复核: "否"
发布时间来源: "rule:local:strict_original_body"
发布时间证据: "Published Time: Fri, 14 Aug 2026 14:39:10 GMT"
发布时间校准原因: "规则确认唯一严格发布时间,来源 local:strict_original_body"
发布时间校准置信度: "high"
发布时间候选数量: 4
发布时间严格候选数量: 1
发布时间原页读取状态: "source template page reused from URL open"
发布时间未找到原因: ""
发布时间校准时间: "2026-08-14T22:39:35+08:00"
发布时间仲裁状态: "skipped"
发布时间仲裁尝试次数: 0
发布时间仲裁耗时毫秒: 0
发现时间: "2026-08-14T22:34:08+08:00"
入库时间: "2026-08-14T14:39:35.900Z"
来源平台: "固定入口"
搜索渠道: "fixed_url"
搜索词: "https://www.nvidia.com/gtc/"
匹配关键词:
- "AI"
- "delivery"
- "deployment"
- "performance"
相关厂家:
- "NVIDIA"
- "Hon Hai"
- "Foxconn"
相关专家:
[]
内容类型: "网页"
抓取工具: "Jina Reader"
清洗工具: "Jina Reader Markdown + Defuddle/Readability 正文提取"
原始附件:
[]
AI优质: "否"
AI打分: 31
AI分档: "非优质"
AI质检状态: "不通过"
AI打分理由: "该页面为NVIDIA GTC物理AI会议会话列表,涉及机器人、数字孪生、自动驾驶等,与超节点/AI Rack/机柜级AI基础设施无关,仅有一场涉及AI工厂但非主题。"
AI质检模型: "ali-deepseek-v4-flash"
AI质检时间: "2026-08-20T10:31:57+08:00"
AI主题相关性: 2
AI来源权威性: 14
AI新颖性: 5
AI技术细节: 2
AI商业部署信号: 3
AI完整性: 5
采集批次: "2026年8月14日18点30分41秒"
采集批次ID: "20260814-183041-680"
去重键: "https://www.nvidia.com/gtc/sessions/physical-ai-days"
---
Title: Playlist | Physical AI Days Conference Sessions
URL Source: https://www.nvidia.com/gtc/sessions/physical-ai-days
Published Time: Fri, 14 Aug 2026 14:39:10 GMT
Markdown Content:
Visit your regional NVIDIA website for local content, pricing, and where to buy partners specific to your country.
[Continue](https://www.nvidia.com/)
[](https://www.nvidia.com/en-us/ "Artificial Intelligence Computing Leadership from NVIDIA")
* [](https://www.nvidia.com/gtc/sessions/physical-ai-days#)
* [](https://www.nvidia.com/gtc/sessions/physical-ai-days#)
* [](https://www.nvidia.com/en-us/account/)
* [Log In](https://www.nvidia.com/gtc/sessions/physical-ai-days#)[LogOut](https://www.nvidia.com/gtc/sessions/physical-ai-days#)
* [EN](https://www.nvidia.com/gtc/sessions/physical-ai-days#)
* [EN](https://www.nvidia.com/en-us/on-demand/)
* [简中](https://www.nvidia.cn/on-demand/)
* [日本語](https://www.nvidia.com/ja-jp/on-demand/)
* [한국어](https://www.nvidia.com/ko-kr/on-demand/)
* [繁中](https://www.nvidia.com/zh-tw/on-demand/)
[NVIDIA On-Demand](https://www.nvidia.com/en-us/on-demand/)
[Featured Playlists](https://www.nvidia.com/en-us/on-demand/featured-playlist/)
[My Channel](https://www.nvidia.com/en-us/on-demand/my-profile/)
[FAQ](https://www.nvidia.com/en-us/on-demand/faq/)
[Advanced Search](https://www.nvidia.com/en-us/on-demand/search/?q=-&sort=relevance&headerText=All%20Sessions&expandFilter=true)
* [Featured Playlists](https://www.nvidia.com/en-us/on-demand/featured-playlist/)
* [My Channel](https://www.nvidia.com/en-us/on-demand/my-profile/)
* [FAQ](https://www.nvidia.com/en-us/on-demand/faq/)
* [Advanced Search](https://www.nvidia.com/en-us/on-demand/search/?q=-&sort=relevance&headerText=All%20Sessions&expandFilter=true)
[](https://www.nvidia.com/gtc/sessions/physical-ai-days# "Menu")
[](https://www.nvidia.com/gtc/sessions/physical-ai-days# "Menu")
* [Featured Playlists](https://www.nvidia.com/en-us/on-demand/featured-playlist/)
* [My Channel](https://www.nvidia.com/en-us/on-demand/my-profile/)
* [FAQ](https://www.nvidia.com/en-us/on-demand/faq/)
* [Advanced Search](https://www.nvidia.com/en-us/on-demand/search/?q=-&sort=relevance&headerText=All%20Sessions&expandFilter=true)
## Physical AI Days Conference Sessions
17 sessions
[37:53 ](https://www.nvidia.com/en-us/on-demand/session/gtc26-s82017?playlistId=gtc26-physical-ai-days)
Talk
[Accelerating Industrial Engineering: From Product Design to Manufacturing in the AI…](https://www.nvidia.com/en-us/on-demand/session/gtc26-s82017?playlistId=gtc26-physical-ai-days)
March 2026
Christoph Meyer, Chief Program Officer, McLaren Automotive
Neil Ashton, Distinguished Engineer, NVIDIA
Accelerated computing and AI supercomputing are redefining industrial engineering, spanning computational engineering (CAE) to semiconductor design and manufacturing. Together, these fields drive how the world conceives, simulates,…
[44:23 ](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81598?playlistId=gtc26-physical-ai-days)
Talk Highly Rated
[Accelerate the Physical AI Era With Digital Twins and Real-Time Simulation](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81598?playlistId=gtc26-physical-ai-days)
March 2026
Rev Lebaredian, VP of Omniverse and Simulation Technology, NVIDIA
Join Rev Lebaredian, NVIDIA’s VP of Omniverse and simulation technology, as he shares how autonomous, OpenClaw-based agents, digital twins and real-time simulation—powered by OpenUSD and NVIDIA’s accelerated computing platform,…
[41:09 ](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81573?playlistId=gtc26-physical-ai-days)
Panel
[Building the Future of Manufacturing](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81573?playlistId=gtc26-physical-ai-days)
March 2026
Marc Segura, President, ABB Robotics
Seungyong Doh, EVP, Head of Digital Transformation, SK hynix
Roslyn Stuart, VP of Synergy Creation, Hitachi Digital
Rainer Brehm, COO of Automation Business and CTO of Digital Industries, Siemens
Rev Lebaredian, VP of Omniverse and Simulation Technology, NVIDIA
Zhaopeng Chen, CEO and Founder, Agile Robots
The manufacturing industry is entering a new era, driven by AI, robotics, and simulation. Join distinguished leaders from the semiconductor and electronics, industrial and process manufacturing, and robotics industries as they share their…
[51:18 ](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81645?playlistId=gtc26-physical-ai-days)
Panel
[From Concept to Production: Humanoid Robotics at Scale](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81645?playlistId=gtc26-physical-ai-days)
March 2026
Chelsea Finn, Assistant Professor at Stanford University, Co-Founder at Physical Intelligence
Amit Goel, Head of Robotics and Edge Computing Ecosystem, NVIDIA
Arnaud Robert, CEO, Hexagon Robotics
Ashok Elluswamy, VP, AI Software, Tesla
Deepak Pathak, CEO and Co-Founder, Skild AI
Pras Velagapudi, CTO, Agility
Humanoid robots are evolving from prototypes to production-ready systems, powered by breakthroughs in reasoning AI, large-scale simulation, and real-time edge computing. But to get there, the industry must bridge the gap between…
[43:20 ](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81713?playlistId=gtc26-physical-ai-days)
Talk
[Automotive Special Address: Advancing Level 4 Autonomy, the Path to Scalable, Safe AVs and…](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81713?playlistId=gtc26-physical-ai-days)
March 2026
Xinzhou Wu, VP of Automotive, NVIDIA
Autonomous vehicles (AVs) are emerging as the first mass-deployed physical AI agents, reshaping mobility and driving new demands in AI, safety, and scalable development. This special address explores the industry’s path to Level 4 autonomy…
[35:42 ](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81667?playlistId=gtc26-physical-ai-days)
Talk Highly Rated
[How Open World Models are Powering the Next Breakthroughs in Physical AI](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81667?playlistId=gtc26-physical-ai-days)
March 2026
Ming-Yu Liu, VP Generative AI Research, NVIDIA
Generating the photorealistic data and robust reasoning capabilities needed for machines to understand real-world complexity remains one of the biggest bottlenecks in physical AI. NVIDIA Cosmos world foundation models are at the core…
[40:19 ](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81671?playlistId=gtc26-physical-ai-days)
Panel
[How to Build Planetary-Scale AI Infrastructure](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81671?playlistId=gtc26-physical-ai-days)
March 2026
Catherine Kniker, Chief Marketing and Sustainability Officer, PTC
Chris Dolan, Chief Data Center Officer, Crusoe Energy Systems, Inc.
Natasha Nelson, CTO of Services and VP of EcoStruxure Power, Schneider Electric USA
Scott Wallace, Director Data Center Engineering, NVIDIA
Vivek Mishra, Corporate VP, Cadence Design Systems, Inc.
Gigawatt-scale AI facilities are pushing data center infrastructure beyond the limits of traditional design and operations workflows. Siloed approaches to buildings, power, cooling, and compute make it difficult to scale efficiently while meeting…
[39:55 ](https://www.nvidia.com/en-us/on-demand/session/gtc26-s82446?playlistId=gtc26-physical-ai-days)
Talk
[Advancing Autonomous Vehicles With World Models](https://www.nvidia.com/en-us/on-demand/session/gtc26-s82446?playlistId=gtc26-physical-ai-days)
March 2026
Sanja Fidler, VP, AI Research; Associate Professor, NVIDIA and University of Toronto
Simulation remains a cornerstone for accelerating robotics and autonomous vehicle (AV) development, enabling policies to be evaluated ahead of real-world deployment and drastically reducing development time. Achieving meaningful results requires…
[56:31 ](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81844?playlistId=gtc26-physical-ai-days)
Panel
[The Future of Industrial Autonomy](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81844?playlistId=gtc26-physical-ai-days)
March 2026
Brandon Hootman, Vice President, AI Platforms & Technologies, Caterpillar
Deepu Talla, Vice President of Robotics and Edge AI, NVIDIA
Mariella Guerricchio, Chief Innovation and Technology Officer , Hitachi Rail
Suresh Venkatarayalu, CTO, Honeywell
Patrick Kelleher, CEO, GXO
Rob Smith, CEO, KION GROUP AG
Rodolphe Katra, Chief AI Officer, Medtronic
This panel brings together industry leaders from Honeywell Industrial, KION Group, Caterpillar, Medtronic, Hitachi Rail and GXO to explore how advanced AI and edge computing are reshaping the future of industrial and healthcare systems. Together,…
[40:33 ](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81492?playlistId=gtc26-physical-ai-days)
Talk
[Disney’s Olaf: From the Screen to Reality via Physical AI](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81492?playlistId=gtc26-physical-ai-days)
March 2026
Moritz Baecher, Director, Research Lab Zurich, Disney Research Imagineering
The translation of animated characters like Olaf, or the design of characters like our BDX Droids, requires balancing artistic fidelity with the constraints of the physical world. This talk explores how these robotic characters achieve that balance…
[42:24 ](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81501?playlistId=gtc26-physical-ai-days)
Talk Highly Rated
[How Virtual Twins are Shaping the Next Industrial Revolution](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81501?playlistId=gtc26-physical-ai-days)
March 2026
Florence Hu-Aubigny, Executive VP R&D, Dassault Systèmes
AI-powered virtual twins, science-validated industry world models, and virtual companions are shaping the next frontier for industries. Learn how Dassault Systèmes’ industry world models, agentic 3DEXPERIENCE platform, and virtual twin…
[37:46 ](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81508?playlistId=gtc26-physical-ai-days)
Talk
[Building and Scaling AI Factories With Digital Twins and Robotics](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81508?playlistId=gtc26-physical-ai-days)
March 2026
Leo Guo, GM, Hon Hai Technology Group (Foxconn)
Foxconn is collaborating with NVIDIA to build an AI factory in Texas for the production of AI servers. Foxconn will leverage NVIDIA Omniverse libraries to build a digital twin environment for simulation and real-time monitoring to rapidly scale up…
[37:41 ](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81834?playlistId=gtc26-physical-ai-days)
Talk
[Transforming Semiconductor Manufacturing with Agentic AI from Design and Engineering to…](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81834?playlistId=gtc26-physical-ai-days)
March 2026
Shankar Krishnamoorthy, Chief Product Development Officer, Synopsys
Yong Ho Song, Corporate EVP, Head of AI Center(DS), Samsung Electronics
Join Samsung experts to explore how AI and digital twins are reshaping semiconductor manufacturing—from electronic design automation (EDA) and computational lithography to the design and operation of advanced fabrication…
[33:41 ](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81836?playlistId=gtc26-physical-ai-days)
Talk
[Visual AI Agents for Real-Time Video Understanding](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81836?playlistId=gtc26-physical-ai-days)
March 2026
Adam Ryason, Product Manager, NVIDIA AI Blueprint for Video Search and Summarization (VSS), NIVIDIA
Roopa Prabhu, Sr. Director of Engineering, NVIDIA
The next generation of visual AI agents starts with NVIDIA Blueprint for video search and summarization (VSS), which enables the creation of interactive analytical agents that reason through massive amounts of video, assess physical processes, and…
[38:45 ](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81479?playlistId=gtc26-physical-ai-days)
Talk
[Physical AI for the Real World: A Vision From NVIDIA Robotics Research](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81479?playlistId=gtc26-physical-ai-days)
March 2026
Jim Fan, Director and Distinguished Research Scientist, NVIDIA
Yashraj Narang, Sr. Robotics Research Manager, NVIDIA
Yuke Zhu, Director and Distinguished Research Scientist, NVIDIA
One of the hardest problems in physical AI is transforming robots from task-specific machines to general-purpose, intelligent collaborators. NVIDIA Research is pioneering a unified AI- and simulation-driven approach to solve this challenge,…
[39:38 ](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81630?playlistId=gtc26-physical-ai-days)
Talk
[Beyond the Basics: OpenUSD for Advanced Physical AI Simulation](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81630?playlistId=gtc26-physical-ai-days)
March 2026
Aaron Luk, Director of Product Management, NVIDIA
Universal Scene Description (OpenUSD) is the foundational 3D data framework of NVIDIA’s physical AI technology stack, serving as a standard across industries for building digital twins and AI in 3D worlds. As the underlying technology for NVIDIA…
[40:53 ](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81786?playlistId=gtc26-physical-ai-days)
Panel
[Shaping the Next Era of Autonomous Driving Through Safety-Centered AI](https://www.nvidia.com/en-us/on-demand/session/gtc26-s81786?playlistId=gtc26-physical-ai-days)
March 2026
Ali Kani, VP of Automotive, NVIDIA
Ashok Elluswamy, VP, AI Software, Tesla
Laura Major, President and CEO, Motional
Noah Zych, Global General Manager, Autonomous Mobility and Delivery, Uber Technologies
Miguel Acosta, Chief, Autonomous Vehicles Branch, California Department of Motor Vehicles (DMV)
Raquel Urtasun, Founder and CEO, Waabi
Achieving Level 4 (L4) autonomy at global scale requires both technical mastery and a verifiable safety case to earn public trust. This panel brings together engineering, mobility, and regulatory leaders from across the autonomous vehicle ecosystem to…
Company Information
* [About Us](https://www.nvidia.com/en-us/about-nvidia/)
* [Investors](https://investor.nvidia.com/home/default.aspx)
* [Venture Capital (NVentures)](https://www.nvidia.com/en-us/startups/nventures/)
* [NVIDIA Foundation](https://www.nvidia.com/en-us/foundation/)
* [Research](https://www.nvidia.com/en-us/research/)
* [Corporate Sustainability](https://www.nvidia.com/en-us/sustainability/)
* [Technologies](https://www.nvidia.com/en-us/technologies/)
* [Careers](https://www.nvidia.com/en-us/about-nvidia/careers/)
News and Events
* [Newsroom](https://nvidianews.nvidia.com/)
* [Company Blog](https://blogs.nvidia.com/)
* [Technical Blog](https://developer.nvidia.com/blog/)
* [Webinars](https://www.nvidia.com/en-us/about-nvidia/webinar-portal/)
* [Stay Informed](https://www.nvidia.com/en-us/preferences/email-signup/)
* [Events Calendar](https://www.nvidia.com/en-us/events/)
* [GTC AI Conference](https://www.nvidia.com/gtc/events/)
* [NVIDIA On-Demand](https://www.nvidia.com/en-us/on-demand/)
Popular Links
* [Developers](https://developer.nvidia.com/)
* [Partners](https://www.nvidia.com/en-us/about-nvidia/partners/)
* [Executive Insights](https://www.nvidia.com/en-us/executive-insights/)
* [Startups and VCs](https://www.nvidia.com/en-us/startups/)
* [Documentation](https://docs.nvidia.com/)
* [Technical Training](https://www.nvidia.com/en-us/learn/organizations/)
* [Professional Services for Data Science](https://www.nvidia.com/en-us/support/enterprise/advisory-services/)
Follow NVIDIA
[](https://www.facebook.com/NVIDIA "")[](https://www.instagram.com/nvidia/?hl=en)[](https://www.linkedin.com/company/nvidia/)[](https://twitter.com/nvidia "")[](https://www.youtube.com/user/nvidia)
[United States](https://www.nvidia.com/en-us/location-selector/)
* [Privacy Policy](https://www.nvidia.com/en-us/about-nvidia/privacy-policy/)
* [Your Privacy Choices](https://www.nvidia.com/en-us/about-nvidia/privacy-center/)
* [Terms of Service](https://www.nvidia.com/en-us/about-nvidia/terms-of-service/)
* [Accessibility](https://www.nvidia.com/en-us/about-nvidia/accessibility/)
* [Corporate Policies](https://www.nvidia.com/en-us/about-nvidia/company-policies/)
* [Product Security](https://www.nvidia.com/en-us/product-security/)
* [Contact](https://www.nvidia.com/en-us/contact/)
Copyright © 2026 NVIDIA Corporation
Select Location
The Americas
* [Argentina](https://www.nvidia.com/es-la/ "Argentina")
* [Brasil (Brazil)](https://www.nvidia.com/pt-br/ "Brasil (Brazil)")
* [Canada](https://www.nvidia.com/en-us/on-demand/playlist/ "Canada")
* [Chile](https://www.nvidia.com/es-la/ "Chile")
* [Colombia](https://www.nvidia.com/es-la/ "Colombia")
* [México (Mexico)](https://www.nvidia.com/es-la/ "México (Mexico)")
* [Peru](https://www.nvidia.com/es-la/ "Peru")
* [United States](https://www.nvidia.com/en-us/on-demand/playlist/ "United States")
Europe
* [België (Belgium)](https://www.nvidia.com/nl-nl/ "België (Belgium)")
* [Belgique (Belgium)](https://www.nvidia.com/fr-be/ "Belgique (Belgium)")
* [Česká Republika (Czech Republic)](https://www.nvidia.com/cs-cz/ "Česká Republika (Czech Republic)")
* [Danmark (Denmark)](https://www.nvidia.com/da-dk/ "Danmark (Denmark)")
* [Deutschland (Germany)](https://www.nvidia.com/de-de/ "Deutschland (Germany)")
* [España (Spain)](https://www.nvidia.com/es-es/ "España (Spain)")
* [France](https://www.nvidia.com/fr-fr/ "France")
* [Italia (Italy)](https://www.nvidia.com/it-it/ "Italia (Italy)")
* [Nederland (Netherlands)](https://www.nvidia.com/nl-nl/ "Nederland (Netherlands)")
* [Norge (Norway)](https://www.nvidia.com/nb-no/ "Norge (Norway)")
* [Österreich (Austria)](https://www.nvidia.com/de-at/ "Österreich (Austria)")
* [Polska (Poland)](https://www.nvidia.com/pl-pl/ "Polska (Poland)")
* [România (Romania)](https://www.nvidia.com/ro-ro/ "România (Romania)")
* [Suomi (Finland)](https://www.nvidia.com/fi-fi/ "Suomi (Finland)")
* [Sverige (Sweden)](https://www.nvidia.com/sv-se/ "Sverige (Sweden)")
* [Türkiye (Turkey)](https://www.nvidia.com/tr-tr/ "Türkiye (Turkey)")
* [United Kingdom](https://www.nvidia.com/en-gb/ "United Kingdom")
* [Rest of Europe](https://www.nvidia.com/en-eu/ "Rest of Europe")
Asia
* [Australia](https://www.nvidia.com/en-au/ "Australia")
* [中国大陆 (Mainland China)](https://www.nvidia.cn/on-demand/playlist/ "中国大陆 (Mainland China)")
* [India](https://www.nvidia.com/en-in/ "India")
* [日本 (Japan)](https://www.nvidia.com/ja-jp/on-demand/playlist/ "日本 (Japan)")
* [대한민국 (South Korea)](https://www.nvidia.com/ko-kr/on-demand/playlist/ "대한민국 (South Korea)")
* [Singapore](https://www.nvidia.com/en-sg/ "Singapore")
* [台灣 (Taiwan)](https://www.nvidia.com/zh-tw/on-demand/playlist/ "台灣 (Taiwan)")
Middle East
* [Middle East](https://www.nvidia.com/en-me/ "Middle East")
NVIDIA uses cookies to improve your experience on our web site. We and our third-party partners also use cookies and other tools to collect and record information you provide as well as information about your interactions with our websites for performance improvement, analytics, and to assist in marketing efforts. By clicking "Accept All", you consent to our use of cookies and other tools as described in our [Cookie Policy](https://www.nvidia.com/en-us/about-nvidia/cookie-policy/). You can manage your cookie settings by clicking on "Manage Settings." By continuing to use this site or by clicking one of the buttons below, you agree to our [Terms of Service](https://www.nvidia.com/en-us/about-nvidia/terms-of-service/) (which contains important waivers). Please see our [Privacy Policy](https://www.nvidia.com/en-us/about-nvidia/privacy-policy/) for more information on our privacy practices.
We have detected the Global Privacy Control (GPC) signal and recorded your rejection of all optional cookies on this site for this browser. You can manage your cookie settings by clicking on "Manage Settings". Please see our [Cookie Policy](https://www.nvidia.com/en-us/about-nvidia/cookie-policy/) for more information. To opt out of non-cookie personal information "sales" / "sharing" for targeted advertising purposes, please visit the [NVIDIA Preference Center](https://www.nvidia.com/en-us/about-nvidia/privacy-center/). Please see our [Privacy Policy](https://www.nvidia.com/en-us/about-nvidia/privacy-policy/) for more information on our privacy practices.
We have detected the Global Privacy Control Signal (GPC) and have opted you out of all optional cookies on this browser. You can manage your cookie settings by clicking on "Manage Settings". Please see our [Cookie Policy](https://www.nvidia.com/en-us/about-nvidia/cookie-policy/) for more information. We have also opted you out of "sharing"/"sales" of personal information outside of cookies. You can manage these settings in the NVIDIA [NVIDIA Preference Center](https://www.nvidia.com/en-us/privacy-center/). Please see our [Privacy Policy](https://www.nvidia.com/en-us/about-nvidia/privacy-policy/) for more information.
We have detected the Global Privacy Control Signal (GPC) and have opted you out of all optional cookies on this browser. You can manage your cookie settings by clicking on "Manage Settings". Please see our [Cookie Policy](https://www.nvidia.com/en-us/about-nvidia/cookie-policy/) for more information. We have also opted you out of "sharing"/"sales" of personal information outside of cookies which overrides at least one of your previous settings. You can manage them in the [NVIDIA Preference Center](https://www.nvidia.com/en-us/privacy-center/). Please see our [Privacy Policy](https://www.nvidia.com/en-us/about-nvidia/privacy-policy/) for more information.
Manage Settings
Reject Optional Accept All

Cookie Settings
We and our third-party partners (including social media, advertising, and analytics partners) use cookies and other tracking technologies to collect, store, monitor, and process certain information about you when you visit our website. The information collected might relate to you, your preferences, or your device. We use that information to make the site work, analyze performance and traffic on our website, provide a more personalized web experience, and assist in our marketing efforts.
Under certain privacy laws, you have the right to direct us not to "sell" or "share" your personal information for targeted advertising. To opt-out of the "sale" and "sharing" of personal information through cookies, you must opt-out of optional cookies using the toggles below. To opt out of the "sale" and "sharing" of data collected by other means (e.g., online forms) you must also update your data sharing preferences through the [NVIDIA Preference Center](https://www.nvidia.com/en-us/about-nvidia/privacy-center/).
Click on the different category headings below to find out more and change the settings according to your preference. You cannot opt out of Required Cookies as they are deployed to ensure the proper functioning of our website (such as prompting the cookie banner and remembering your settings, etc.). By clicking "Save and Accept" or "Decline All" at the bottom, you consent to the use of cookies and other tools as described in our [Cookie Policy](https://www.nvidia.com/en-us/about-nvidia/cookie-policy/) in accordance with your settings and accept our [Terms of Service](https://www.nvidia.com/en-us/about-nvidia/terms-of-service/) (which contains important waivers). For more information about our privacy practices, please see our [Privacy Policy](https://www.nvidia.com/en-us/about-nvidia/privacy-policy/).
Required Cookies
Always Active
These cookies enable core functionality such as security, network management, and accessibility. These cookies are required for the site to function and cannot be turned off.
Cookies Details
Performance Cookies
- [x] Performance Cookies
These cookies are used to provide quantitative measures of our website visitors, such as the number of times you visit, time on page, your mouse movements, scrolling, clicks and keystroke activity on the websites; other browsing, search, or product research behavior; and what brought you to our site. These cookies may store a unique ID so that our system will remember you when you return. Information collected with these cookies is used to measure and find ways to improve website performance.
Cookies Details
Personalization Cookies
- [x] Personalization Cookies
These cookies collect data about how you have interacted with our website to help us improve your web experience, such as which pages you have visited. These cookies may store a unique ID so that our system will remember you when you return. They may be set by us or by third party providers whose services we have added to our pages. These cookies enable us to provide enhanced website functionality and personalization as well as make the marketing messages we send to you more relevant to your interests. If you do not allow these cookies, then some or all of these services may not function properly.
Cookies Details
Advertising Cookies
- [x] Advertising Cookies
These cookies record your visit to our websites, the pages you have visited and the links you have followed to influence the advertisements that you see on other websites. These cookies and the information they collect may be managed by other companies, including our advertising partners, and may be used to build a profile of your interests and show you relevant advertising on other sites. We and our advertising partners will use this information to make our websites and the advertising displayed on it, more relevant to your interests.
Cookies Details
Cookie List
Clear
* - [x] checkbox label label
Apply Cancel
Consent Leg.Interest
- [x] checkbox label label
- [x] checkbox label label
- [x] checkbox label label
Decline All Save and Accept
[](https://www.onetrust.com/solutions/consent-and-preferences/)
Accelerating Industrial Engineering: From Product Design to Manufacturing in the AI…
Accelerated computing and AI supercomputing are redefining industrial engineering, spanning computational engineering (CAE) to semiconductor design and manufacturing. Together, these fields drive how the world conceives, simulates,…
Accelerate the Physical AI Era With Digital Twins and Real-Time Simulation
Join Rev Lebaredian, NVIDIA’s VP of Omniverse and simulation technology, as he shares how autonomous, OpenClaw-based agents, digital twins and real-time simulation—powered by OpenUSD and NVIDIA’s accelerated computing platform,…
Building the Future of Manufacturing
The manufacturing industry is entering a new era, driven by AI, robotics, and simulation. Join distinguished leaders from the semiconductor and electronics, industrial and process manufacturing, and robotics industries as they share their…
From Concept to Production:Humanoid Robotics at Scale
Humanoid robots are evolving from prototypes to production-ready systems, powered by breakthroughs in reasoning AI, large-scale simulation, and real-time edge computing. But to get there, the industry must bridge the gap between…
Automotive Special Address: Advancing Level 4 Autonomy, the Path to Scalable, Safe AVs and…
Autonomous vehicles (AVs) are emerging as the first mass-deployed physical AI agents, reshaping mobility and driving new demands in AI, safety, and scalable development. This special address explores the industry’s path to Level 4 autonomy…
How Open World Models are Powering the Next Breakthroughs in Physical AI
Generating the photorealistic data and robust reasoning capabilities needed for machines to understand real-world complexity remains one of the biggest bottlenecks in physical AI. NVIDIA Cosmos world foundation models are at the core…
How to Build Planetary-Scale AI Infrastructure
Gigawatt-scale AI facilities are pushing data center infrastructure beyond the limits of traditional design and operations workflows. Siloed approaches to buildings, power, cooling, and compute make it difficult to scale efficiently while meeting…
Advancing Autonomous Vehicles With World Models
Simulation remains a cornerstone for accelerating robotics and autonomous vehicle (AV) development, enabling policies to be evaluated ahead of real-world deployment and drastically reducing development time. Achieving meaningful results requires…
The Future of Industrial Autonomy
This panel brings together industry leaders from Honeywell Industrial, KION Group, Caterpillar, Medtronic, Hitachi Rail and GXO to explore how advanced AI and edge computing are reshaping the future of industrial and healthcare systems. Together,…
Disney’s Olaf:From the Screen to Reality via Physical AI
The translation of animated characters like Olaf, or the design of characters like our BDX Droids, requires balancing artistic fidelity with the constraints of the physical world. This talk explores how these robotic characters achieve that balance…
How Virtual Twins are Shaping the Next Industrial Revolution
AI-powered virtual twins, science-validated industry world models, and virtual companions are shaping the next frontier for industries. Learn how Dassault Systèmes’ industry world models, agentic 3DEXPERIENCE platform, and virtual twin…
Building and Scaling AI Factories With Digital Twins and Robotics
Foxconn is collaborating with NVIDIA to build an AI factory in Texas for the production of AI servers. Foxconn will leverage NVIDIA Omniverse libraries to build a digital twin environment for simulation and real-time monitoring to rapidly scale up…
Transforming Semiconductor Manufacturing with Agentic AI from Design and Engineering to…
Join Samsung experts to explore how AI and digital twins are reshaping semiconductor manufacturing—from electronic design automation (EDA) and computational lithography to the design and operation of advanced fabrication…
Visual AI Agents for Real-Time Video Understanding
The next generation of visual AI agents starts with NVIDIA Blueprint for video search and summarization (VSS), which enables the creation of interactive analytical agents that reason through massive amounts of video, assess physical processes, and…
Physical AI for the Real World:A Vision From NVIDIA Robotics Research
One of the hardest problems in physical AI is transforming robots from task-specific machines to general-purpose, intelligent collaborators. NVIDIA Research is pioneering a unified AI- and simulation-driven approach to solve this challenge,…
Beyond the Basics:OpenUSD for Advanced Physical AI Simulation
Universal Scene Description (OpenUSD) is the foundational 3D data framework of NVIDIA’s physical AI technology stack, serving as a standard across industries for building digital twins and AI in 3D worlds. As the underlying technology for NVIDIA…
Shaping the Next Era of Autonomous Driving Through Safety-Centered AI
Achieving Level 4 (L4) autonomy at global scale requires both technical mastery and a verifiable safety case to earn public trust. This panel brings together engineering, mobility, and regulatory leaders from across the autonomous vehicle ecosystem to…
Press space bar to start a drag. When dragging you can use the arrow keys to move the item around and escape to cancel. Some screen readers may require you to be in focus mode or to use your pass through key