Core Viewpoint - Nvidia's new Jetson Thor chip significantly enhances the computational power and data processing capabilities for robotics, enabling more complex tasks to be performed directly on the device rather than relying on cloud processing [3][4]. Group 1: Nvidia's Jetson Thor Chip - The Jetson Thor chip, based on the Blackwell architecture, offers a peak performance of 2070 TFLOPS at FP4 precision, representing a 7.5 times improvement over the previous Orin chip and a 3.5 times increase in energy efficiency [4]. - The chip allows robots to handle high-resolution, high-frequency sensor inputs directly, potentially shifting many tasks from cloud processing back to local execution [5]. Group 2: Robotics Deployment Models - Current robotics typically utilize a hybrid deployment model combining cloud and edge processing, with edge systems focusing on real-time tasks and cloud systems handling more complex reasoning tasks [4]. - The reliance on cloud processing introduces latency issues that can affect the safety and feasibility of high-frequency tasks, such as rapid decision-making and continuous grasping [4]. Group 3: Competitive Landscape - Domestic companies are also developing their own solutions, such as Diguo Robotics' RDK S100 development kit and Hezhima Intelligent's chips for humanoid robots, which focus on real-time control and multi-modal data processing [6][7]. - The advantages of domestic chips include higher cost-effectiveness and tailored services that cater to local market needs, providing differentiation in scene optimization [7].
英伟达的首批机器人“新大脑”到货了