Loading video...

Video Failed to Load

Go Home

Everyone is watching robots walk. Nobody is watching what makes them think. NVIDIA open-sourced the entire stack for physical AI. $100 trillion in industries are next. Most builders haven't cloned the repo yet. That's the edge. Best Physical AI breakdown I've seen on X.

rohit4verse's profile picture

Rohit

23,434 subscribers

90,695 views • 3 months ago •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

Physical AI is the biggest opportunity most people are sleepwalking past. "Physical AI is a $50 trillion market." - Jensen at The All-In Podcast Robots. Autonomous vehicles. Embodied AI. The infrastructure to power all of it. Nvidia isn't just selling GPUs anymore. They're building the OS for the physical AI era.
5:50

Physical AI is the biggest opportunity most people are sleepwalking past. "Physical AI is a $50 trillion market." - Jensen at The All-In Podcast Robots. Autonomous vehicles. Embodied AI. The infrastructure to power all of it. Nvidia isn't just selling GPUs anymore. They're building the OS for the physical AI era.

Shruti

51,545 views • 4 months ago

I thought robotics was for PhDs and billion dollar labs. Then I found this repo where NVIDIA open-sourced the entire stack for physical AI. Brain. Body. Physics. Simulation. Free. I wrote the full breakdown and what projects you can start building today to get ahead.
2:02

I thought robotics was for PhDs and billion dollar labs. Then I found this repo where NVIDIA open-sourced the entire stack for physical AI. Brain. Body. Physics. Simulation. Free. I wrote the full breakdown and what projects you can start building today to get ahead.

Utkarsh

66,455 views • 3 months ago

Physical AI is here—the next wave of AI and the foundation of the next industrial revolution. NVIDIA founder and CEO Jensen Huang outlines the full stack making it possible: Cosmos and Omniverse to develop physical AI in virtual worlds, Isaac and Newton where robots learn skills in physics-simulated gyms, and Jetson robotics computers where their intelligence runs. Together with Japan’s robotics and manufacturing leaders, NVIDIA is creating a new era of industrial automation.
0:51

Physical AI is here—the next wave of AI and the foundation of the next industrial revolution. NVIDIA founder and CEO Jensen Huang outlines the full stack making it possible: Cosmos and Omniverse to develop physical AI in virtual worlds, Isaac and Newton where robots learn skills in physics-simulated gyms, and Jetson robotics computers where their intelligence runs. Together with Japan’s robotics and manufacturing leaders, NVIDIA is creating a new era of industrial automation.

NVIDIA

124,745 views • 3 days ago

.Siemens and NVIDIA are accelerating the next wave of automation with physical AI. 🤝 Watch the full hashtag#CES2026 demo to see how Siemens is integrating NVIDIA CUDA-X libraries and Omniverse into its EDA, CAE, and digital twin portfolio, bringing physical AI across the entire industrial lifecycle. 📺
0:38

.Siemens and NVIDIA are accelerating the next wave of automation with physical AI. 🤝 Watch the full hashtag#CES2026 demo to see how Siemens is integrating NVIDIA CUDA-X libraries and Omniverse into its EDA, CAE, and digital twin portfolio, bringing physical AI across the entire industrial lifecycle. 📺

NVIDIA Omniverse

19,781 views • 6 months ago

What’s next in robotics starts with physical AI. 🤖 By combining decades of machine data with AI, simulation, and digital twins, leaders like AGIBOT, FRANKA ROBOTICS, CaterpillarInc, and PlusAI are scaling intelligent machines across industries and redefining what robots can do in the physical world. Watch the full video 📹
0:52

What’s next in robotics starts with physical AI. 🤖 By combining decades of machine data with AI, simulation, and digital twins, leaders like AGIBOT, FRANKA ROBOTICS, CaterpillarInc, and PlusAI are scaling intelligent machines across industries and redefining what robots can do in the physical world. Watch the full video 📹

NVIDIA Robotics

39,126 views • 5 months ago

Explore where physical AI is headed next with the people shaping it. On Feb. 10 at 9 a.m. PT, join Ming‑Yu, Vice President of Research at NVIDIA, and Chubby♨️ from Superintelligence, for a conversation on how NVIDIA Cosmos reframes AI for a world of robots, AVs, and vision-driven systems. We'll dig into: ✅ Cosmos' origins and designing models for the physical world ✅ The scientific ideas and architectures behind Cosmos and its open models ✅ How open, reasoning-capable physical AI is changing how teams prototype, deploy, and iterate ✅ What a future of AI systems that understand space, time, and causality could unlock If you’re thinking into real‑world AI, this is the conversation to catch ➡️
0:39

Explore where physical AI is headed next with the people shaping it. On Feb. 10 at 9 a.m. PT, join Ming‑Yu, Vice President of Research at NVIDIA, and Chubby♨️ from Superintelligence, for a conversation on how NVIDIA Cosmos reframes AI for a world of robots, AVs, and vision-driven systems. We'll dig into: ✅ Cosmos' origins and designing models for the physical world ✅ The scientific ideas and architectures behind Cosmos and its open models ✅ How open, reasoning-capable physical AI is changing how teams prototype, deploy, and iterate ✅ What a future of AI systems that understand space, time, and causality could unlock If you’re thinking into real‑world AI, this is the conversation to catch ➡️

NVIDIA AI Developer

26,434 views • 5 months ago

We recently crossed 10,000 GitHub stars on Rerun 😍 That's great and all, but something bigger is happening in robotics and Physical AI right now: The open-source ecosystem has seen real acceleration over the last few years. More teams are sharing real infrastructure: datasets, models, simulators, tooling, and the unglamorous plumbing that makes iteration possible. Jan Florian Maas, Physical Intelligence, Hugging Face are just some of the names driving this forward. Visualization and data infra belong in that category. If your entire data loop depends on being able to query and inspect what your robots are doing, that layer can’t be fragile or vendor-controlled. It needs to be something you can introspect, build on, extend, and trust long-term. Huge thanks to everyone building open-source robotics. The next decade of Physical AI will be built in the open.
0:22

We recently crossed 10,000 GitHub stars on Rerun 😍 That's great and all, but something bigger is happening in robotics and Physical AI right now: The open-source ecosystem has seen real acceleration over the last few years. More teams are sharing real infrastructure: datasets, models, simulators, tooling, and the unglamorous plumbing that makes iteration possible. Jan Florian Maas, Physical Intelligence, Hugging Face are just some of the names driving this forward. Visualization and data infra belong in that category. If your entire data loop depends on being able to query and inspect what your robots are doing, that layer can’t be fragile or vendor-controlled. It needs to be something you can introspect, build on, extend, and trust long-term. Huge thanks to everyone building open-source robotics. The next decade of Physical AI will be built in the open.

Rerun

29,684 views • 5 months ago

Jensen Huang open-sourced NVIDIA's flagship AI model, its weights, its data, AND how they created it. "We open sourced the models," Huang says. "We open sourced the weights." "We open sourced the data." "We open sourced how we created it." Four layers of openness in one model release. "Open source is fundamentally necessary for many industries to join the AI revolution." "NVIDIA has the scale and the motivation to build and continue to build these AI models for as long as we shall live." The chip seller benefits when every model is open. NVIDIA is the chip seller. P.S. I made a playbook breaking down 100+ most powerful decision making mental models used by history's greatest thinkers. 5,000+ downloads. 113 five-star reviews. Grab a free copy here: If you're new here, follow GeniusThinking for content on the greatest minds in economics, psychology, and history. — Jensen Huang ( NVIDIA ), NVIDIA CEO, on Lex Fridman's ( Lex Fridman ) podcast
1:29

Jensen Huang open-sourced NVIDIA's flagship AI model, its weights, its data, AND how they created it. "We open sourced the models," Huang says. "We open sourced the weights." "We open sourced the data." "We open sourced how we created it." Four layers of openness in one model release. "Open source is fundamentally necessary for many industries to join the AI revolution." "NVIDIA has the scale and the motivation to build and continue to build these AI models for as long as we shall live." The chip seller benefits when every model is open. NVIDIA is the chip seller. P.S. I made a playbook breaking down 100+ most powerful decision making mental models used by history's greatest thinkers. 5,000+ downloads. 113 five-star reviews. Grab a free copy here: If you're new here, follow GeniusThinking for content on the greatest minds in economics, psychology, and history. — Jensen Huang ( NVIDIA ), NVIDIA CEO, on Lex Fridman's ( Lex Fridman ) podcast

GeniusThinking

14,769 views • 1 month ago

Travis Kalanick: Tesla is the Google of the Physical AI Era “I like to break down the physical AI stack: (it) includes computation, a physical AI model, all the things you think of.” “What about land? Development? That should be in that stack. What about chemistry? That needs to be in the stack. Manufacturing needs to be a stack.” “When you look at the stack, you're like, ‘Damn, Tesla's got this sh*t.’ They are the Google of this era.” “What I mean by that is, if you were doing a startup in the 2000s, the first question you would get is, ‘Why isn't Google gonna kill you?’ Or, ‘Why isn't Google just gonna do it?’ They’re not even gonna know that they killed you.” “And before that, it was Microsoft in the late 90s. Uber had a time, 2010s.” “But in the physical AI space, that's sort of a Tesla thing.” -------------------------------------------- Thanks to our partner for making this happen!: EY (EY) Austin vibes meet AI innovation. Thanks to EY for co‑hosting with us at #SXSW. Discover what executives are saying about AI transformation in the latest AI Pulse Survey.
0:54

Travis Kalanick: Tesla is the Google of the Physical AI Era “I like to break down the physical AI stack: (it) includes computation, a physical AI model, all the things you think of.” “What about land? Development? That should be in that stack. What about chemistry? That needs to be in the stack. Manufacturing needs to be a stack.” “When you look at the stack, you're like, ‘Damn, Tesla's got this sh*t.’ They are the Google of this era.” “What I mean by that is, if you were doing a startup in the 2000s, the first question you would get is, ‘Why isn't Google gonna kill you?’ Or, ‘Why isn't Google just gonna do it?’ They’re not even gonna know that they killed you.” “And before that, it was Microsoft in the late 90s. Uber had a time, 2010s.” “But in the physical AI space, that's sort of a Tesla thing.” -------------------------------------------- Thanks to our partner for making this happen!: EY (EY) Austin vibes meet AI innovation. Thanks to EY for co‑hosting with us at #SXSW. Discover what executives are saying about AI transformation in the latest AI Pulse Survey.

The All-In Podcast

94,872 views • 4 months ago

At CES, our CEO Jensen Huang unveiled how physical AI is coming to life in factories, robots and the next wave of autonomous vehicles with Rubin, GR00T, Alpamayo and more. Watch the keynote: Read the announcements:
2:09

At CES, our CEO Jensen Huang unveiled how physical AI is coming to life in factories, robots and the next wave of autonomous vehicles with Rubin, GR00T, Alpamayo and more. Watch the keynote: Read the announcements:

NVIDIA

46,506 views • 6 months ago

🚨 BREAKING: NVIDIA JUST announced roadmap for physical AI, robotics and national-scale AI factories. Here’s a breakdown of the top important announcements: 🧵👇 1. DeepSeek R1 is now 4x faster, setting the standard for AI in inference and reasoning.
0:50

🚨 BREAKING: NVIDIA JUST announced roadmap for physical AI, robotics and national-scale AI factories. Here’s a breakdown of the top important announcements: 🧵👇 1. DeepSeek R1 is now 4x faster, setting the standard for AI in inference and reasoning.

Shruti

1,722,932 views • 1 year ago

Last week on the #CES2026 show floor was incredible. 🙌 Thanks to everyone who stopped by the NVIDIA Showcase and explored our demos. Physical AI took the spotlight - showcasing how NVIDIA is transforming industrial AI, advancing automotive innovation, and powering next-gen robotics. See you next year. 👋
0:24

Last week on the #CES2026 show floor was incredible. 🙌 Thanks to everyone who stopped by the NVIDIA Showcase and explored our demos. Physical AI took the spotlight - showcasing how NVIDIA is transforming industrial AI, advancing automotive innovation, and powering next-gen robotics. See you next year. 👋

NVIDIA Robotics

19,203 views • 6 months ago

Last week at #CES2026, our CEO Jensen Huang unveiled #NVIDIARubin, our new extreme-codesigned, six chip AI platform, alongside major advancements in open models and physical AI. On the show floor, we showcased some of the AI infrastructure and #acceleratedcomputing technologies that's powering the next era of AI. Thank you to everyone who stopped by the NVIDIA Showcase and we’ll see you next time. 👋
0:25

Last week at #CES2026, our CEO Jensen Huang unveiled #NVIDIARubin, our new extreme-codesigned, six chip AI platform, alongside major advancements in open models and physical AI. On the show floor, we showcased some of the AI infrastructure and #acceleratedcomputing technologies that's powering the next era of AI. Thank you to everyone who stopped by the NVIDIA Showcase and we’ll see you next time. 👋

NVIDIA AI Infrastructure

30,098 views • 6 months ago

“Blue-collar jobs are safe from AI.” Not for long. This welding robot climbs vertical steel walls like Spider-Man. While everyone is watching AI replace coders and office work… industrial robots are quietly entering the physical world too. Welding. Grinding. Inspection. Rust removal. The scary part? Software automation was the easy phase. Now machines are learning to work in the real world.
1:34

“Blue-collar jobs are safe from AI.” Not for long. This welding robot climbs vertical steel walls like Spider-Man. While everyone is watching AI replace coders and office work… industrial robots are quietly entering the physical world too. Welding. Grinding. Inspection. Rust removal. The scary part? Software automation was the easy phase. Now machines are learning to work in the real world.

Manisha Mishra

220,795 views • 2 months ago

🇺🇸 A company that began with truck axles in 1911 is now one of the most critical bottlenecks in AI. Data centers are the most power-hungry buildings on earth, and Eaton is the only one trusted to route that high-voltage power safely. Their electrical orders have spiked more than 50% in the last year. Everyone is watching NVIDIA. Nobody is watching the company making sure those chips don’t burn the building down. Source: @christinacontent (YouTube)
1:11

🇺🇸 A company that began with truck axles in 1911 is now one of the most critical bottlenecks in AI. Data centers are the most power-hungry buildings on earth, and Eaton is the only one trusted to route that high-voltage power safely. Their electrical orders have spiked more than 50% in the last year. Everyone is watching NVIDIA. Nobody is watching the company making sure those chips don’t burn the building down. Source: @christinacontent (YouTube)

Mario Nawfal

40,206 views • 2 months ago

The next frontier of AI is physical. 🤖 From simulation to synthetic data, developers are training robots to understand the real world with NVIDIA Cosmos, Isaac simulation frameworks and open-source physics engine, Newton. Watch the video to see how partners like Hon Hai Technology Group (Foxconn), Hexagon, Humanoid, Noble Machines, and Skild AI are building the future. 🎥
0:51

The next frontier of AI is physical. 🤖 From simulation to synthetic data, developers are training robots to understand the real world with NVIDIA Cosmos, Isaac simulation frameworks and open-source physics engine, Newton. Watch the video to see how partners like Hon Hai Technology Group (Foxconn), Hexagon, Humanoid, Noble Machines, and Skild AI are building the future. 🎥

NVIDIA Robotics

21,664 views • 4 months ago

This is one of the most realistic AI AI-films I've ever seen🤯 Nicéphore worked on this for weeks for the Paris AI Summit. It's a story about the birth of cinema 130 years ago. What do you think?
3:05

This is one of the most realistic AI AI-films I've ever seen🤯 Nicéphore worked on this for weeks for the Paris AI Summit. It's a story about the birth of cinema 130 years ago. What do you think?

PJ Ace

128,093 views • 1 year ago

Construction is changing fast. Robots are stepping in to handle the toughest, most physical labor - leveling, lifting, and building with speed and precision humans can’t match. We’re watching the foundation of that future form now.
0:31

Construction is changing fast. Robots are stepping in to handle the toughest, most physical labor - leveling, lifting, and building with speed and precision humans can’t match. We’re watching the foundation of that future form now.

Johnny

980,243 views • 2 months ago