特斯拉下一代AI芯片，将亮相

Group 1 - The core viewpoint of the article highlights the progress of Tesla's Dojo AI training computer and the upcoming launch of the next-generation AI chip, Dojo 2, later this year. It emphasizes that significant technological advancements require multiple iterations, with Dojo 3 expected to be even better than its predecessor [1] - Tesla AI's latest Dojo technology report indicates that the Dojo supercomputer is facing issues related to manufacturing defects and aging, which lead to silent data corruption (SDC). Unlike traditional system failures, these defects do not manifest immediately but compromise data integrity during training [1] - A defective node can result in erroneous outcomes from weeks of AI model training or significantly slow down convergence speed. More critically, these issues are nearly undetectable after model training is completed, potentially leading companies to deploy AI systems trained on corrupted data without their knowledge [1] Group 2 - The Dojo supercomputer, designed by Tesla, serves as a training ground for artificial intelligence, particularly for Full Self-Driving (FSD) applications. The name "Dojo" pays homage to martial arts training halls [1] - The supercomputer consists of thousands of small computers known as nodes, each equipped with its own CPU (Central Processing Unit) for overall management and GPU (Graphics Processing Unit) for handling complex tasks, such as dividing tasks into multiple parts for simultaneous processing [1]