Meituan Unveils LongCat-2.0 AI Model Trained on Domestic Chi

Chinese food delivery giant Meituan unveiled its new open-source large language model that it says has been trained entirely on Chinese chips. Meituan, which developed its first LLM last year, said its new model, LongCat-2.0, which has 1.6 trillion parameters, is the first model of this scale to complete the full training as well as inference on domestic chip clusters. Meituan didn’t disclose which Chinese chip suppliers it is working with. Meituan’s move is the latest example of how China is ramping up its effort to reduce its dependence on American AI chips amid Washington’s export controls. Beijing is promoting the use of domestic alternatives to Nvidia, as the country tries to become more self-sufficient in critical areas of technology. In January, #🇨🇳 ChinA.I. 🤖🧠🦾🤖 developer Zhipu released an open-source AI image model that was trained entirely on Huawei chips. The size of the Zhipu model, which focuses on image generation, is much smaller than Meituan’s new LLM. DeepSeek is also stepping up its efforts to run its AI models on Huawei chips, even though the company continues to train its models on advanced Nvidia chips. https://www.reuters.com/w..