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← Tech Lab 2024-08-12 Format · Spec Sheet Record No. 1083 4 min read
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엔비디아, GR00T 휴머노이드 로봇 기초모델 공개

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DeskJuwon
FormatSpec Sheet
Checked2024-08-12
StatusDesk verified

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GTC— NVIDIA today announced Project GR00T, a general-purpose foundation model for humanoid robots, designed to further its work driving breakthroughs in robotics and embodied AI. As part of the initiative, the company also unveiled a new computer, Jetson Thor, for humanoid robots based on the NVIDIA Thor system-on-a-chip (SoC), as well as significant upgrades to the NVIDIA Isaac robotics platform, including generative AI foundation models and tools for simulation and AI workflow infrastructure.

“Building foundation models for general humanoid robots is one of the most exciting problems to solve in AI today,” said Jensen Huang, founder and CEO of NVIDIA. “The enabling technologies are coming together for leading roboticists around the world to take giant leaps towards artificial general robotics.”

Robots powered by GR00T, which stands for Generalist Robot 00 Technology, will be designed to understand natural language and emulate movements by observing human actions — quickly learning coordination, dexterity and other skills in order to navigate, adapt and interact with the real world.

In his GTC keynote , Huang demonstrated several such robots completing a variety of tasks. Built for Humanoid Robots Jetson Thor was created as a new computing platform capable of performing complex tasks and interacting safely and naturally with people and machines.

It has a modular architecture optimized for performance, power and size. The SoC includes a next-generation GPU based on the NVIDIA Blackwell architecture with a transformer engine delivering 800 teraflops of 8-bit floating point AI performance to run multimodal generative AI models like GR00T.

원문: NVIDIA News — "NVIDIA Announces Project GR00T Foundation Model for Humanoid Robots and Major Isaac Robotics Platform Update" (2024-08-12) 공식 원문: https://nvidianews.nvidia.com/news/foundation-model-isaac-robotics-platform

#NVIDIA News
Repuse Lab · 2024-08-12 · © 2026
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