Group 1 - Nvidia has launched the Jetson Thor robot computing platform, which is now available for developers at a price of $3,499 [2] - The Thor chip, based on the Blackwell architecture, offers a peak computing power 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 [2] - The current deployment model for robots typically combines cloud and edge computing, with a need for significant computational power for more generalized robot models [2][3] Group 2 - The Thor chip enhances data processing capabilities and interface bandwidth, allowing robots to handle high-resolution, high-frequency sensor inputs locally, which could reduce reliance on cloud processing [3] - Nvidia aims to establish foundational infrastructure in the robotics sector, similar to its strategy before the AIGC boom, to influence industry standards ahead of a potential market explosion [3] - Domestic companies in China are also developing their own solutions, such as the RDK S100 development kit and various chips for different robotic functions, highlighting the competitive landscape [4] Group 3 - The advantages of domestic chips include higher cost-effectiveness and tailored services, which may provide differentiation in market optimization [4] - Despite Nvidia's advancements, the fragmented nature of robot applications presents opportunities for competitors to carve out niches in low-power chips and specialized scenarios [4]
英伟达的首批机器人“新大脑”到货了 中国开发者怎么评价它?