Core Viewpoint - The competition in the automotive industry is shifting towards cloud computing power, which is becoming a critical factor for companies to gain a competitive edge in the era of smart vehicles [1][2]. Group 1: Cloud Computing Power - Cloud computing power is essential for training complex AI models and improving efficiency in autonomous driving, smart cockpit iterations, and large model inference [1][2]. - The current landscape shows a disparity in cloud computing power among automotive companies, with Tesla leading at approximately 100 EFLOPS, followed by companies like Li Auto and Geely [3]. - Many companies still have room for improvement, with cloud computing power concentrated between 8 EFLOPS and 12 EFLOPS [4]. Group 2: Strategic Planning and Technological Advancement - Geely's leadership in cloud computing power is attributed to its long-term strategic planning and technological advancements, particularly in electric vehicle technology [5]. - Geely has adopted a dual approach, advancing both electrification and intelligence simultaneously, as outlined in its "Smart Geely 2025" plan [6]. - The company has integrated AI across various domains, including driving assistance, power management, and chassis control, enhancing the overall user experience [9][10]. Group 3: Industry Perspective on Electrification and Intelligence - The automotive industry should not view electrification and intelligence as separate phases; both should progress concurrently to optimize development [10][11]. - The transition from fuel vehicles to electric vehicles will be gradual, with AI technology playing a crucial role in enhancing efficiency across the entire automotive value chain [11].