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NEO's inference computer (NVIDIA Jetson Thor) sits in the head. Other humanoids typically have their compute in the torso.

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The Humanoid Hub

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69,076 görüntüleme • 2 ay önce •via X (Twitter)

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$NVDA announced Isaac GR00T which is its first open humanoid robot reference design for robotics research. The nearly 6-foot humanoid runs on Unitree hardware, Sharpa hands, Jetson Thor compute and Nvidia Isaac software.
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$NVDA announced Isaac GR00T which is its first open humanoid robot reference design for robotics research. The nearly 6-foot humanoid runs on Unitree hardware, Sharpa hands, Jetson Thor compute and Nvidia Isaac software.

Shay Boloor

97,418 görüntüleme • 1 ay önce

NVIDIA announces the first open humanoid robot reference design built for robotics research. The NVIDIA Isaac GR00T Reference Humanoid Robot combines the Unitree H2 humanoid robot, Sharpa Wave five-fingered hands for dexterous manipulation, Jetson Thor onboard compute, and Isaac GR00T open software and models, giving researchers a full-stack platform from data capture to model deployment. Read the #NVIDIAGTC Taipei announcement:
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NVIDIA announces the first open humanoid robot reference design built for robotics research. The NVIDIA Isaac GR00T Reference Humanoid Robot combines the Unitree H2 humanoid robot, Sharpa Wave five-fingered hands for dexterous manipulation, Jetson Thor onboard compute, and Isaac GR00T open software and models, giving researchers a full-stack platform from data capture to model deployment. Read the #NVIDIAGTC Taipei announcement:

NVIDIA Robotics

166,289 görüntüleme • 1 ay önce

NVIDIA Nemotron 3 Nano Omni, a new multimodal reasoning model, is now live on Jetson AI Lab and unifies vision, audio, and language into a single reasoning loop. 🙌 Power your NemoClaws by running this model with Ollama, vLLM and other inference frameworks on NVIDIA Jetson hardware. Try it ➡️
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NVIDIA Nemotron 3 Nano Omni, a new multimodal reasoning model, is now live on Jetson AI Lab and unifies vision, audio, and language into a single reasoning loop. 🙌 Power your NemoClaws by running this model with Ollama, vLLM and other inference frameworks on NVIDIA Jetson hardware. Try it ➡️

NVIDIA Robotics

16,031 görüntüleme • 2 ay önce

🎉 NVIDIA Jetson Thor won the COMPUTEX Best Choice Golden Award as the most powerful edge AI compute platform for physical AI and autonomous machines. Built to bring generative AI to smart robots, industrial systems, and medical devices, it delivers breakthrough performance and efficiency at the edge. Learn more ➡️ #COMPUTEX2026
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🎉 NVIDIA Jetson Thor won the COMPUTEX Best Choice Golden Award as the most powerful edge AI compute platform for physical AI and autonomous machines. Built to bring generative AI to smart robots, industrial systems, and medical devices, it delivers breakthrough performance and efficiency at the edge. Learn more ➡️ #COMPUTEX2026

NVIDIA Robotics

20,557 görüntüleme • 1 ay önce

🚨 BREAKING: NVIDIA just announced the Isaac GR00T Reference Humanoid Robot. The first fully open humanoid robot reference design built on Jetson Thor, and it's going straight to the world's top research institutions. This is Jensen Huang's bet on open physical AI infrastructure. The hardware stack is serious: → Unitree H2 Plus chassis, 6 feet tall, 150 pounds, 31 degrees of freedom → Sharpa Wave tactile five-finger hands, 22 degrees of freedom, bringing total to 75 across the full body → NVIDIA Jetson AGX Thor onboard compute, 2,070 FP4 teraflops of AI performance, 128GB unified memory → Multi-view sensing, stereo head camera, wrist cameras, IMU Alongside this announcement, Unitree also introduced the H2 Plus as a standalone product, a frontier humanoid combining Unitree's own body, Sharpa's five-finger hands and NVIDIA Robotics Jetson Thor compute into one fully integrated research platform. The full Isaac GR00T software stack ships with it, teleoperation for data capture, open foundation models, Isaac Sim for training, Isaac Lab for evaluation, and accelerated ROS middleware for deployment. The complete loop from data to real-world robot in one unified platform. ETH Zürich, Stanford Robotics Center, UC San Diego and Ai2 are already on board as launch research partners. NVIDIA Robotics did to AI what it's now doing to robotics, build the platform, open the ecosystem, let the world build on top of it. Whoever owns the infrastructure layer wins. NVIDIA knows this better than anyone. 👀 Read more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →
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🚨 BREAKING: NVIDIA just announced the Isaac GR00T Reference Humanoid Robot. The first fully open humanoid robot reference design built on Jetson Thor, and it's going straight to the world's top research institutions. This is Jensen Huang's bet on open physical AI infrastructure. The hardware stack is serious: → Unitree H2 Plus chassis, 6 feet tall, 150 pounds, 31 degrees of freedom → Sharpa Wave tactile five-finger hands, 22 degrees of freedom, bringing total to 75 across the full body → NVIDIA Jetson AGX Thor onboard compute, 2,070 FP4 teraflops of AI performance, 128GB unified memory → Multi-view sensing, stereo head camera, wrist cameras, IMU Alongside this announcement, Unitree also introduced the H2 Plus as a standalone product, a frontier humanoid combining Unitree's own body, Sharpa's five-finger hands and NVIDIA Robotics Jetson Thor compute into one fully integrated research platform. The full Isaac GR00T software stack ships with it, teleoperation for data capture, open foundation models, Isaac Sim for training, Isaac Lab for evaluation, and accelerated ROS middleware for deployment. The complete loop from data to real-world robot in one unified platform. ETH Zürich, Stanford Robotics Center, UC San Diego and Ai2 are already on board as launch research partners. NVIDIA Robotics did to AI what it's now doing to robotics, build the platform, open the ecosystem, let the world build on top of it. Whoever owns the infrastructure layer wins. NVIDIA knows this better than anyone. 👀 Read more here: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

15,928 görüntüleme • 1 ay önce

Holy sh!t ! OpenAI will have their custom inference chips ready in just a few months and deployed at scale by the end of the year! 🤯 Training chip = The heavy lifters that require massive amounts of data and power to build and teach the AI models from scratch. Inference chip = The specialized, highly efficient chips that actually run the AI and generate the answers in real-time when you use it. This is going to help OpenAI drastically cut down their massive compute costs, speed up model reasoning times, and finally break free from relying entirely on Nvidia to scale their operations.
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Holy sh!t ! OpenAI will have their custom inference chips ready in just a few months and deployed at scale by the end of the year! 🤯 Training chip = The heavy lifters that require massive amounts of data and power to build and teach the AI models from scratch. Inference chip = The specialized, highly efficient chips that actually run the AI and generate the answers in real-time when you use it. This is going to help OpenAI drastically cut down their massive compute costs, speed up model reasoning times, and finally break free from relying entirely on Nvidia to scale their operations.

Chris

60,278 görüntüleme • 4 ay önce

From 3 meter resolution to 1 meter-class. And the latest NVIDIA Jetson platform integrated onboard. Truly a game changer in near-daily scans. Learn more at
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From 3 meter resolution to 1 meter-class. And the latest NVIDIA Jetson platform integrated onboard. Truly a game changer in near-daily scans. Learn more at

Planet

27,892 görüntüleme • 8 ay önce

Open innovation is accelerating, and it’s happening on the edge. ⚡ OpenClaw, now running fully on the NVIDIA Jetson platform, shows how the robotics community is advancing intelligent autonomy, from real-time hardware-in-the-loop testing to robots that can generate their own code. 📖 #NationalRoboticsWeek
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Open innovation is accelerating, and it’s happening on the edge. ⚡ OpenClaw, now running fully on the NVIDIA Jetson platform, shows how the robotics community is advancing intelligent autonomy, from real-time hardware-in-the-loop testing to robots that can generate their own code. 📖 #NationalRoboticsWeek

NVIDIA Robotics

56,652 görüntüleme • 3 ay önce

You are seeing more and more tourist attractions in China featuring humanoids as part of their shows. IMO, humanoids are going to bring a lot of value to the tourism and entertainment industry in the short term.
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You are seeing more and more tourist attractions in China featuring humanoids as part of their shows. IMO, humanoids are going to bring a lot of value to the tourism and entertainment industry in the short term.

Tuo Liu

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First came pre-training scaling; then came inference-time scaling. Now comes judge-time scaling. Despite progress in AI through scaled inference-time compute, AI remains unreliable in open-ended, non-verifiable domains. The key limitation is not generation—it is evaluation. Therefore, the next big leap for AI comes from better judging. In service of this future, today we release Verdict, a library for scaling judge-time compute.
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First came pre-training scaling; then came inference-time scaling. Now comes judge-time scaling. Despite progress in AI through scaled inference-time compute, AI remains unreliable in open-ended, non-verifiable domains. The key limitation is not generation—it is evaluation. Therefore, the next big leap for AI comes from better judging. In service of this future, today we release Verdict, a library for scaling judge-time compute.

Leonard Tang

111,298 görüntüleme • 1 yıl önce

The World Computer has been isolated from all the world’s compute. Ritual fixes this.
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The World Computer has been isolated from all the world’s compute. Ritual fixes this.

Ritual Foundation

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In the movie 'The matrix' Neo's passport has an expiration date set to 9/11/2001
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In the movie 'The matrix' Neo's passport has an expiration date set to 9/11/2001

Historic Vids

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TRUMP BOUGHT $5,000,000 IN NVIDIA. ONE WEEK BEFORE THE DEAL. 🇺🇸 Two weeks ago I posted Trump's "buy stocks" quote was a bull trap. The disclosure dropped May 14. January 6: Trump bought $500,000 to $1,000,000 in NVIDIA stock. One week later: Commerce Department approved NVIDIA chips for China. February 10: Trump bought $1,000,000 to $5,000,000 in NVIDIA stock. One week later: NVIDIA announced major compute deal with Meta. Trump doesn't pump without a reason. Now we know the reason.
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TRUMP BOUGHT $5,000,000 IN NVIDIA. ONE WEEK BEFORE THE DEAL. 🇺🇸 Two weeks ago I posted Trump's "buy stocks" quote was a bull trap. The disclosure dropped May 14. January 6: Trump bought $500,000 to $1,000,000 in NVIDIA stock. One week later: Commerce Department approved NVIDIA chips for China. February 10: Trump bought $1,000,000 to $5,000,000 in NVIDIA stock. One week later: NVIDIA announced major compute deal with Meta. Trump doesn't pump without a reason. Now we know the reason.

Merlijn The Trader

32,530 görüntüleme • 1 ay önce

She's not wrong. The average GPU sits idle 70% of the time. Meanwhile AI companies can't get enough compute. GamerHash AI connects these two worlds. Your graphics card works on real AI inference while you sleep, eat, or touch grass. The Earn Module is live.
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She's not wrong. The average GPU sits idle 70% of the time. Meanwhile AI companies can't get enough compute. GamerHash AI connects these two worlds. Your graphics card works on real AI inference while you sleep, eat, or touch grass. The Earn Module is live.

GamerHash AI

219,358 görüntüleme • 2 ay önce

Fun fact In the movie 'The Matrix', Neo's passport has an expiration date set to 9/11/2001.
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Fun fact In the movie 'The Matrix', Neo's passport has an expiration date set to 9/11/2001.

Massimo

100,386 görüntüleme • 10 ay önce

Want to bring open-source vision language models to the edge? 💻 Check out our Hugging Face article on deploying NVIDIA Cosmos Reasoning 2B across the NVIDIA Jetson family with vLLM and a Live VLM WebUI. 📖
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Want to bring open-source vision language models to the edge? 💻 Check out our Hugging Face article on deploying NVIDIA Cosmos Reasoning 2B across the NVIDIA Jetson family with vLLM and a Live VLM WebUI. 📖

NVIDIA Robotics

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Virtuals Protocol is integrating Venice to power AI agent building with private, uncensored inference, available to anyone, anywhere on Base. Venice brings best-in-class privacy-first inference. Virtuals EconomyOS brings the full agent infrastructure stack: wallets, identity, payments, commerce, funding rails, and launch infrastructure. We are deploying up to $400,000 in private inference credits so anyone can move from idea to working agent without compute or backend complexity getting in the way. Start your AI journey. Inference and infra are on us. Program details soon.
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Virtuals Protocol is integrating Venice to power AI agent building with private, uncensored inference, available to anyone, anywhere on Base. Venice brings best-in-class privacy-first inference. Virtuals EconomyOS brings the full agent infrastructure stack: wallets, identity, payments, commerce, funding rails, and launch infrastructure. We are deploying up to $400,000 in private inference credits so anyone can move from idea to working agent without compute or backend complexity getting in the way. Start your AI journey. Inference and infra are on us. Program details soon.

Virtuals Protocol

316,087 görüntüleme • 1 ay önce

Playing on the new Jetson Thor trying to think in terms of having gobs of memory, but low mem bandwidth Moondream2 VLM is ~2 FPS per full loop of everything But we have 128GB of memory. So run 15 VLM servers (~76GB) & get 30 FPS w/ ~100ms latency for the feed very comfy.
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Playing on the new Jetson Thor trying to think in terms of having gobs of memory, but low mem bandwidth Moondream2 VLM is ~2 FPS per full loop of everything But we have 128GB of memory. So run 15 VLM servers (~76GB) & get 30 FPS w/ ~100ms latency for the feed very comfy.

Harrison Kinsley

35,687 görüntüleme • 10 ay önce

"The future of computer graphics is clearly going to be revolutionized." We are grateful to NVIDIA CEO Jensen Huang for highlighting Wonder Dynamics during their SIGGRAPH keynote and for their support in our mission of building AI-driven tools that help artists create wonders.
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"The future of computer graphics is clearly going to be revolutionized." We are grateful to NVIDIA CEO Jensen Huang for highlighting Wonder Dynamics during their SIGGRAPH keynote and for their support in our mission of building AI-driven tools that help artists create wonders.

Autodesk Flow Studio

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