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

$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.show more

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:show more

🎉 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 ➡️ #COMPUTEX2026show more

🚨 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 →show more

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.show more

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 atshow more

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. 📖 #NationalRoboticsWeekshow more

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.show more

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.show more

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

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

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.show more

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.show more

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.show more

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.show more

"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.show more

Not too many other head coaches in the country... are out supporting their university’s other athletic programs days after a CFP game with this level of enthusiasm.show more

Anyone else have this stuck in their head? 😄