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#NVIDIA #JetsonAGXThor #HumanoidRobots #AInews #ArtificialIntelligence China’s top humanoid robot makers—Unitree, UBTech, AgiBot, Galbot, and Engine AI—just aligned on a single “robot brain”: NVIDIA’s Jetson AGX Thor. Announced August 26, 2025, this Edge-AI platform delivers real-time perception, planning, and dexterous action—on device. No hype. No CGI. Just concurrency, long-context reasoning, and OTA-updatable skills. Is this the moment humanoids leave demos and enter deployment? 🛠️ Top AI Tool for Video Creation (Used by 1M+ Creators) → Try Pictory FREE: https://pictory.ai?ref=mobeen70 🔥 Critical Questions We Answer: ❌ How did five competing humanoid brands standardize on Jetson AGX Thor in one day? ❌ Does on-device Edge AI and concurrency make cloud-first robots obsolete? ❌ Who controls safety patches and rollbacks when one platform powers thousands? 👇 WATCH NOW & DECIDE! 📌 Video Chapters: Five Rivals, One Brain—What Flipped Today? Inside Thor: The Concurrency Trick Aisles, Wards, and Lines—First Real Deployments Winners, Risks, and Rollback Dilemmas Factories as App Stores—Skills Become Software Final Thoughts: Weekly Release Notes for Robots 🟢 In This Video, You’ll Discover: ✅ What Jetson AGX Thor (Blackwell, FP4) enables: multi-model concurrency, long context, low-latency control. ✅ Why Unitree, UBTech, AgiBot, Galbot, and Engine AI aligned—and what it means for cost, reliability, and scale. ✅ The “stack-level certification” shift that compresses audits, insurance, and time-to-deployment. ✅ Concrete outcomes you’ll feel first: faster deliveries, fewer stockouts, cleaner audits, and new “Robot Ops” roles. 🚨 The AI race is evolving faster than ever—Jetson AGX Thor didn’t just upgrade specs; it unified the humanoid stack. When skills become apps and fleets learn weekly, the gap between demo and delivery disappears. Are we ready for humanoids that don’t wait for prompts—they take action? 🔔 Subscribe to AI Horizon Daily for real-time AI news, industry leaks, and exclusive updates on the AI revolution! 💬 Comment Below: Is “one robot brain” good for safety and innovation—or are we concentrating too much power in a single platform? Let’s discuss! 🔗 Join our AI Community! #NVIDIA #JetsonAGXThor #HumanoidRobots #EdgeAI #AInews #ArtificialIntelligence #Unitree #UBTech #AgiBot #Galbot #EngineAI #Blackwell #FP4 #AIrobotics #RobotOps #AIHorizonDaily 📌 DISCLAIMER: This video includes AI-generated imagery and visual effects for illustrative and entertainment purposes only. News headlines and product imagery are used under fair use for commentary and analysis. This content is not affiliated with, endorsed by, or connected to any individuals, organizations, or companies mentioned. SOURCES & REFERENCES Sources used for research, reporting, and news commentary under fair use. All video clips credited to original creators. All external videos, posts, and news clips are credited above for news reporting, educational, and analysis purposes under fair use. All rights to original content belong to their respective creators and organizations. Some visuals and audio in this video were AI-generated or include stock elements for illustration and commentary. ___________________________ 🌟 For sponsorship inquiries please contact us at: [email protected]