Investment Rating - The report assigns a "Buy" rating for Tonglian Precision (688210) with a first coverage [1]. Core Views - The rapid evolution of generative AI technology is driving a new wave of hardware innovation in consumer electronics and smart devices. This includes advancements in foldable smartphones, AI personal computers, smart glasses, and wearable devices, which enhance user experience and stimulate consumer demand [4]. - The company is expanding its precision manufacturing capabilities to meet the demand for lightweight and high-performance components, utilizing new materials and technologies such as 3D printing. This positions the company favorably in the market for new smart terminal products [5]. - The company plans to issue convertible bonds to raise up to 595 million yuan, primarily for a new intelligent manufacturing center focused on lightweight materials, which will enhance its role from a traditional component supplier to a comprehensive technology service provider [6]. Financial Projections - Revenue projections for the company are 1.12 billion yuan in 2025, 1.52 billion yuan in 2026, and 2.10 billion yuan in 2027, with net profits of 101.11 million yuan, 193.90 million yuan, and 329.62 million yuan respectively [7][10]. - The company is expected to achieve a revenue growth rate of 44.93% in 2024, followed by 37.62% in 2025, 35.80% in 2026, and 38.30% in 2027 [10][11].

Core Viewpoint - Nvidia is expected to unveil significant advancements in AI hardware, including the Blackwell Ultra chip and details about the Rubin platform, at the upcoming GTC 2025 conference, which may help revive market sentiment towards AI stocks [1][2]. Group 1: Blackwell Ultra Chip - The Blackwell Ultra (GB300) chip is anticipated to be a highlight of the GTC conference, featuring improvements in HBM memory capacity and power consumption compared to its predecessor B200 [3]. - The changes in the Blackwell Ultra system are expected to benefit suppliers in power, battery, cooling, connectors, ODM, and HBM sectors [3]. Group 2: Rubin Platform - The Rubin platform is projected to be a new engine for AI computing by 2026, with Nvidia likely to share some details at the GTC conference [4]. - The Rubin GPU is expected to have a massive HBM capacity of 288GB, a thermal design power (TDP) of 1.4kW, and a 50% performance increase in FP4 computing compared to B200, with shipments starting in Q3 2025 [4][5]. - The Rubin platform may feature a dual logic chip structure, HBM4 memory with a total capacity of 384GB, and an expected TDP of around 1.8kW [5]. Group 3: CPO Technology - Nvidia's CPO (Co-Packaged Optics) technology is anticipated to be another major highlight at the GTC conference, aimed at enhancing bandwidth, reducing latency, and lowering power consumption [6][7]. - Initial applications of CPO are expected in switches, with widespread GPU-level adoption projected for the Rubin Ultra era in 2027 [8]. Group 4: Physical AI and Humanoid Robots - There is an increasing market focus on physical AI and humanoid robots, with Nvidia expected to showcase advancements in these areas at the GTC conference [9]. - Nvidia has already introduced platforms like Cosmos and GR00T, and further announcements regarding multimodal AI, robotics, and digital twins are anticipated [9][10].