Nvidia(US:NVDA) Haitong Securities International·2025-07-18 08:49Investment Rating - The report does not explicitly provide an investment rating for the industry or specific companies discussed Core Insights - The evolution of AI is driven by computing power, transitioning from rule-based software to predictive intelligence systems powered by large-scale data and parameter training [2][8] - NVIDIA is advancing next-generation AI acceleration platforms through innovations in 3D transistor structures, advanced packaging, and silicon photonics interconnects, with a roadmap extending 10-20 years [2][8] Summary by Sections AI Development Waves - Perception AI (2012–2017): Surpassing human capabilities in vision, speech, and language recognition [5] - Generative AI (2018–): Cross-modal generation reshaping content production [5] - Reasoning AI (2023–): Human-like logic and problem-solving abilities [5] - Physical AI (future): Embodied intelligence in robotic systems [5] Strategic Implications - A 20-Year Window for Silicon-Based AI Compute: Huang positions CoWoS and CPO as mainline technologies, affirming the viability of current architecture-compatible paths for Chinese chipmakers [3][11] - Global Recognition of Chinese Open Models: Huang praises Chinese open-source models, marking a significant endorsement of China's AI capabilities and opening pathways for algorithm export [3][11] - Open-Source as the Future Engine of AI Innovation: Transitioning to ecosystem-driven engineering collaboration around multimodal model sharing and co-development [3][11] - AI for Science as a New Accelerator: AI's role in complex interdisciplinary fields, with opportunities for Chinese institutions in drug discovery and climate prediction [3][11]