Core Viewpoint - The collaboration between Moore Threads and Beijing Zhiyuan Artificial Intelligence Research Institute has successfully completed the full-process training of the RoboBrain 2.5 model, marking a significant advancement in the field of embodied intelligence and the effectiveness of domestic AI infrastructure [1] Group 1: Technological Advancements - The training utilized the MTT S5000 kilocalorie intelligent computing cluster, demonstrating the capability and efficiency of domestic computing power in training large models for embodied intelligence [1] - The FlagOS-Robo framework, which integrates a unified AI system software stack with the MTT S5000 hardware cluster, enables stable and rapid training processes [1] Group 2: Industry Implications - The successful training of RoboBrain 2.5 signifies a critical step for domestic AI infrastructure in addressing complex multimodal tasks, positioning it as a strategic asset in the next phase of artificial intelligence development [1] - The collaboration highlights the importance of self-controlled underlying computing power as embodied intelligence emerges as a strategic high ground in the AI sector [1]
摩尔线程联合智源人工智能研究院完成具身大脑模型训练