Investment Rating - The report maintains a rating of "Buy" for the electronic industry [1] Core Insights - The electronic industry is experiencing a transformation driven by edge-cloud collaboration, reshaping AI entry points and reconstructing hardware paradigms [2] - The competition in integrated AI capabilities is shifting from a focus on the quantity of functions to a comprehensive comparison of multi-modal experiences and system-level integration depth [2] - The evolution of edge models is not about replacing cloud models but rather forming a clearly defined collaborative architecture [26] Summary by Sections 1. Cloud Models: Capability Expansion and Cost Restructuring - Cloud models are entering a new acceleration phase focused on agent capabilities, multi-modal integration, and cost optimization [10] - Domestic models are rapidly catching up in performance while expanding their cost-effectiveness, driving demand release [18] 2. Edge Models: Efficiency Optimization and Capability Compression - Edge models are evolving under the mainline of edge-cloud collaboration, focusing on real-time perception and preliminary decision-making within user privacy boundaries [26] - Multi-modal capabilities are becoming a key competitive point for edge models, enabling real-time interactions and execution [29] 3. Hardware Reconstruction Driven by Edge Models - The core components of edge devices are undergoing upgrades in memory, power consumption, and heat dissipation to support more complex AI functionalities [2] - Samsung's LPDDR6 product has achieved approximately 21% energy efficiency improvement compared to the previous generation [2] 4. Algorithm Optimization: Efficiency and Capability Compression - The industry is exploring various model architectures and optimization techniques to enhance efficiency and reduce memory constraints [30][33] - Low-bit quantization has become the industry standard, with ongoing exploration of even lower precision techniques [36]