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From Robot Development to Deployment with Isaac GR00T & Jetson Thor
Kimi K3 (2.8T MoE) + NVIDIA LeRobot GR00T 1.7. Massive open models for long-context reasoning meet physical AI platforms for humanoid robots. More frontier inference + real-world deployment = exploding GPU/edge compute demand. The race isn't just training anymore. It's agents that think, see, and act. #ComputeRace# #AIAgents#
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🔥 JUST IN: LG partners with NVIDIA to unveil a next-gen bipedal humanoid robot built on Isaac GR00T, targeting a public debut in Q1 next year.
SITUATION DETECTED: LG is developing a next-generation bipedal humanoid robot built on Nvidia’s Isaac GR00T foundation model, with a public unveiling planned for Q1 2027.
Building general-purpose humanoid robots requires an end-to-end approach. Join NVIDIA’s Spencer Huang to see how AI agents and NVIDIA Isaac GR00T are accelerating the entire process. Add the session to your calendar 👉
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Ready to take robots from development to deployment? Join our livestream on August 26 at 9 a.m. PT to learn how to: 🧠 Develop and deploy robots with NVIDIA Isaac GR00T and Jetson Thor 🏭 Apply sim to real workflows for industrial robotics 🦾 Turn teleoperation data into real robot actions 🎙️ See @NobleMachines and @seeedstudio demonstrate practical robotics workflows across humanoids and robotic arms. Watch live:
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Just a shower thought on $AMD vs $NVDA Right now Nvidia undoubtedly dominates in robotics (Isaac, Omniverse, GR00T, Jetson). They own the whole development stack robots get built/trained on. Once humanoids are scaling massively (when we're out of dev. phase) and it becomes a cost competition, this is typically where $AMD outperforms Nvidia. Not to mention, its embedded/adaptive silicon (Xilinx) is crucial to real-time robotics control, which $NVDA doesn't have. Ofc this is contingent on robotics becoming progressively more mainstream. Just wanted to toss this thought out there. TLDR: wouldn't bet against $NVDA or $AMD in the long-run, but when it comes to robotics scaling, $AMD should have a higher upside.
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Ready to bring AI into the physical world? 🤖 Join our livestream on Tuesday, August 11th at 9:00am PT to learn how to: 🧠 Run and fine-tune NVIDIA GR00T 1.7 🔗 Connect models, sensors, and actuators with ROS 2 🦾 Deploy a model on the SO-101 robot arm to execute a real-world task 🎙️Guest speaker @nikodembartnik will also share the latest advances and highlights from the open-source robotics community. Add to calendar:
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Unitree Introducing | Unitree H2 Plus Integrated R&D and Manufacturing, Embarking on Full-Stack Development🥳 Unitree Robotics announces H2 Plus, the first humanoid robot reference design built on @NVIDIA Isaac GR00T to accelerate humanoid research. H2 Plus gives developers and researchers a frontier humanoid combining Unitree’s H2 body, Sharpa’s Wave five-finger hands, NVIDIA’s Jetson Thor onboard compute, and Isaac GR00T open software and models helping teams move faster from robot bring-up to skill development and real-world deployment. Learn more:
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Today I unboxed a Jetson AGX Orin 64GB. This is the on robot box. Cameras, CAN, capture, Isaac ROS. The nervous system for whatever I bolt it to. The rest of the lab: 2x DGX Spark for GR00T train and serve (Isaac Sim runs here too) RTX 4080 / 64GB DDR5 for Sim, demos, and Cosmos Physical AI, day 1. @NVIDIARobotics
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