智联汽车系列深度之39：小鹏VLA2.0发布：智能驾驶体现更强大的泛化性

Investment Rating - The report maintains a positive outlook on the industry, particularly highlighting the advancements represented by Xiaopeng's VLA2.0 in enhancing algorithmic capabilities for intelligent driving [5][6]. Core Insights - The VLA2.0 demonstrates significantly improved generalization capabilities, achieving human-like feedback in certain scenarios, such as navigating complex roads with minimal human intervention [5][6]. - The report emphasizes the potential for technology spillover from VLA2.0 into other embodied intelligence fields, including robotics and low-altitude economies [5][31]. - Key investment targets identified include Xiaopeng Motors, Desay SV, Xizhi Jia, and Tianzhun Technology [5][38]. Summary by Sections Section 1: Xiaopeng's VLA2.0 Release - Xiaopeng's VLA2.0 was launched with claims of higher efficiency and faster response times, capable of handling various road conditions seamlessly [12][15]. - The second-generation VLA eliminates the traditional language translation step, allowing for direct conversion from visual input to action, which retains more information [15][16]. Section 2: Algorithm Development - The VLA model has a clear historical evolution, enhancing its capabilities over time from single-modal processing to multi-modal understanding and execution [19][24]. - The report notes the ongoing divergence in investment strategies within the market due to the non-convergence of technical solutions, highlighting the impact of the second-generation VLA on industry applications [29][30]. Section 3: Computing Power - Turing Chip - The Turing chip, which supports the VLA2.0, features independent ISP and enhanced perception capabilities, crucial for recognizing challenging environmental conditions [34][36]. - The chip is designed to support low bandwidth, which is beneficial for AI inference and autonomous driving, resulting in lower power consumption and reduced latency [34][36]. Section 4: Investment Targets - The report identifies key investment targets including Xiaopeng Motors, Desay SV, Xizhi Jia, and Tianzhun Technology, indicating their relevance in the intelligent driving sector [38][39].