Core Viewpoint - Alibaba and Baidu are transitioning to using self-designed chips for AI model training, reducing reliance on Nvidia's chips due to increasing export restrictions from the US and government support for domestic technology [1][3]. Group 1: Company Developments - Alibaba has been using its self-developed chips for smaller AI models since the beginning of this year [3]. - Baidu is experimenting with its Kunlun P800 chip to train the new version of its Wenxin Yiyan AI model [3]. - Both companies have not completely abandoned Nvidia chips, as they still utilize them for developing their most advanced AI models [4]. Group 2: Chip Performance and Comparison - Alibaba's AI chip, Zhenwu, is reported to slightly outperform Nvidia's A100 chip released five years ago, indicating a performance gap still exists [3]. - Baidu's Kunlun P800 chip, while not as powerful as Nvidia's latest Blackwell chip, is designed specifically for large language models and can handle both inference and training tasks [3]. - Alibaba's AI chip is said to compete with Nvidia's H20, which is a scaled-down version designed for the Chinese market [3]. Group 3: Market Implications - The shift towards self-developed chips represents a significant change in China's tech and AI sectors, which previously relied heavily on Nvidia's high-performance processors [3]. - The competition in the AI chip market is intensifying, as indicated by Nvidia's acknowledgment of the emerging competition [4].