Core Viewpoint - Tencent has publicly stated that it has no current plans to produce AI chips and does not intend to enter this field in the future, contrasting sharply with other major Chinese tech companies that are accelerating their investment in self-developed AI chips in response to U.S. export restrictions on NVIDIA chips [1][6]. Group 1: Tencent's Strategy - Tencent is implementing a full-stack optimization strategy to alleviate the tight supply of computing power by integrating various types of chip resources to build a cost-effective AI computing support system [1]. - Tencent's response to U.S. export control policies focuses on technology optimization and resource integration, continuously improving algorithms and building efficient computing clusters to maximize the use of existing computing resources for model training [1]. - Tencent is strategically differentiating its business operations between the domestic and overseas markets, increasing the proportion of domestic chip usage while collaborating with local partners for hardware support in international markets [3]. Group 2: Investment and Infrastructure - Tencent plans to invest $150 million to build its first data center in the Middle East, located in Saudi Arabia, and will also establish a third data center in Osaka, Japan, to enhance its global computing network [3]. - Tencent's international business segment has maintained double-digit growth over the past three years, indicating strong performance in its cloud services [3]. Group 3: Competitors' Movements - Other major Chinese tech companies, such as Huawei, Baidu, and Alibaba, are accelerating their self-developed AI chip initiatives in response to external restrictions, with Huawei successfully developing the Ascend series processors and Baidu applying its Kunlun P800 chip in its ERNIE language model [6]. - Alibaba has recently launched a new AI chip that significantly improves performance over previous models, aiming to fill the gap left by NVIDIA's export restrictions in the Chinese market [6].