Ping An Securities·2026-01-14 04:11Investment Rating - The industry investment rating is "Outperform the Market" (maintained) [1][50]. Core Insights - The demand for AI infrastructure is expected to continue increasing due to the rapid growth in the size and token consumption of AI models. Major tech companies like NVIDIA are continuously empowering AI model and application development through product iterations, thus benefiting from the AI industry boom [3][48]. - The report highlights the launch of NVIDIA's Rubin platform, which features six new chips designed for AI supercomputers, significantly reducing inference costs and enhancing performance [4][30]. - AMD introduced the Helios rack, aimed at meeting the Yotta-level AI computing demands, showcasing a substantial increase in performance and efficiency [40][41]. Summary by Sections NVIDIA Developments - NVIDIA unveiled the complete Rubin platform at CES 2026, which includes six new chips that work in extreme synergy to lower inference costs significantly. The token cost for inference can be reduced to one-tenth of the previous Blackwell platform [2][4]. - The Rubin platform features innovations such as the NVIDIA Vera CPU and Rubin GPU, which enhance training time and reduce costs for large-scale AI models [4][16]. - NVIDIA also launched the Alpamayo series of open-source AI models for autonomous driving, which includes a model with 10 billion parameters designed for the assisted driving research community [30][31]. AMD Developments - AMD's Helios rack is designed to meet the increasing demand for AI computing, featuring a core computing tray powered by four new AMD hardware components, providing 2.9 exaflops of AI computing power [41][42]. - The MI455X GPU, part of the Helios platform, boasts a performance increase of 10 times compared to its predecessor, with 320 billion transistors and advanced cooling technology [43][44]. - AMD plans to release the next-generation MI500 product in 2027, which is expected to achieve a 1000-fold increase in AI performance over four years [46][47]. Investment Recommendations - The report recommends focusing on AI themes for investment opportunities, highlighting companies in AI algorithms and applications, AI computing, and autonomous driving sectors [3][48]. - Specific strong buy recommendations include companies like 恒生电子, 中科创达, and 盛视科技, while also suggesting to monitor other firms in the AI space [3][48].