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Novauto, X Square Robot forge strategic partnership on general-purpose intelligent agent R&D

Gabriella From Gasgoo| February 26 , 2025 15:29 BJT

Beijing (Gasgoo)- On February 24, Chinese computing solution developer Novauto announced the strategic partnership it recently formed with X Square Robot. The collaboration will focus on meeting the practical application needs of robotics, and jointly explore next-generation robotics computing platforms based on edge large models and chips, driving the development of embodied intelligence.

Novauto, X Square Robot forge strategic partnership on general-purpose intelligent agent R&D

Photo credit: Novauto

Novauto specializes in computing architecture design and algorithm optimization, primarily targeting edge computing scenarios in areas such as security, intelligent driving, and embodied intelligence. The company provides high-efficiency computing solutions centered around its Jingzhe chip series and hardware-software collaborative products, including the N-CUBE computing box and N-TANK edge server. Novauto's solutions support the deployment and operation of large models on edge devices, such as DeepSeek-R1, to effectively meet diverse customer needs across various scenarios.

On the other hand, X Square Robot focuses on developing general-purpose embodied large models and building versatile intelligent agents capable of fine-tuned operations. The company is among the first in China to achieve unified end-to-end embodied large models. Its self-developed Great Wall operation model series, such as WALL-A, enables robots to autonomously perceive, judge, and execute complex tasks in the physical world.

Through this partnership, both companies will enhance technical collaboration and co-develop general-purpose intelligent agents based on Novauto's AI chips. Currently, Novauto is conducting real-world testing of large models on its next-generation AI chips, and both companies will explore the deployment and application of AI chips in general-purpose intelligent agent platforms.

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