Ant Group focuses on Chinese chips to strengthen its strategy in AI.
The post Ant Group focuses on Chinese chips to strengthen its strategy in AI. appeared on BitcoinEthereumNews.com.
In a global context increasingly marked by the technological competition between the United States and China, Ant Group, controlled by Alibaba, is taking significant steps to reduce its dependence on American chips and contain costs in the development of artificial intelligence (AI) models. According to sources close to the company, Ant is relying on semiconduttori cinesi to train its advanced language models, using an approach that promises to revolutionize the way AI is produced in the Asian country. Strategic Turning Point in AI Model Training for Ant Group In recent months, Ant Group has adopted chips supplied by local companies, including entities connected to Alibaba and Huawei Technologies, to train its AI models using the Mixture of Experts (MoE) technique. This approach, increasingly widespread among researchers, allows for effectively dividing tasks among different “experti” within the model, improving its computational efficiency. The sources assure that the results of these models are not only comparable to those obtained with the Nvidia H800 chips. However, in some tests, they would have even surpassed the performance of the models developed by Meta. Although Bloomberg News has not independently verified these performances, the data indicate a significant progress in China’s attempt to reduce operational costs and lower technological dependence. The MoE technique is inspired by the principle of specialized delegation: each sub-module of the model is responsible for a specific portion of the processing, allowing for greater scalability and efficiency compared to traditional approaches. In addition to Ant Group, Google and the Chinese startup from Hangzhou DeepSeek are also employing this methodology. Ant has highlighted its commitment to scientific dissemination by publishing a paper that emphasizes the goal of scaling models without the use of high-end GPUs. This approach becomes crucial for companies that, due to high costs, cannot afford to continuously use high-performance…
Filed under: News - @ April 3, 2025 10:24 pm