Core Insights - The AI model, AI computing power, and AI applications are driving each other in a spiraling upward trend, leading to the evolution of traditional cloud architecture towards AI-native cloud solutions [1][2] - The public cloud market in China is expected to grow at a rate of 17.7% in the second half of 2024, according to IDC [1] - Fire Mountain Engine has reduced the cost of large model inference by over 90%, which not only lowers the cost for customers but also pressures other cloud providers to follow suit [1] - The daily token call volume for public cloud large models in China is projected to reach 952.2 billion by December 2024, a tenfold increase from 96.3 billion in June 2024 [1] Company Insights - Fire Mountain Engine holds a market share of 46.4% in the total large model call volume for 2024 [2] - The daily token call volume for Doubao's large model reached 16.4 trillion by May 2025, a 137-fold increase from 120 billion in May 2024 [2] - The transition from PC to mobile and now to AI era signifies a shift in technology focus from web pages and apps to AI agents [2] Industry Insights - The innovation in cloud computing infrastructure is being driven by changes in application paradigms, moving away from traditional IaaS, PaaS, and SaaS models [2] - AI-native cloud architecture is being redefined based on business architecture rather than technical division, focusing on optimizing computing, storage, and network architecture around agents [2] - The goal is to enhance the speed and volume of token generation in a given time frame to improve the responsiveness of AI applications [2][3]