太初元碁乔梁：AI算法已经跑到单芯片极限｜MEET2026

Core Viewpoints - The demand for computing power in industry applications is increasing exponentially due to the development of AI technology, which requires algorithms to achieve millisecond-level accuracy [1][7] - High-performance computing (HPC) will be a foundational support across various computing scenarios, from manufacturing to scientific research and AI applications [2][13] - The concept of "super-intelligent integration" has become a consensus in the industry, emphasizing the need for heterogeneous integration in hardware architecture to meet the growing computing demands of AI algorithms [3][10] Group 1 - The evolution of the computing era has shifted from traditional scientific computing to "super-intelligent integration," driven by the increasing need for computing power in AI applications [7][12] - AI's demand for computing power is largely due to the generalization of AI algorithms, which require substantial computational resources for various AI models and agents [9][10] - The importance of high-performance computing is underscored as it will permeate traditional scientific research, manufacturing, and AI applications, presenting significant market opportunities for hardware and software developers [13][16] Group 2 - The company focuses on high-performance computing and AI integration, aiming to enhance the capabilities of AI algorithms through advanced hardware design, such as the TC link for high-speed interconnection [25][27] - The development of an open-source ecosystem is essential for the growth of the AI industry, with the company advocating for collaboration among enterprises to build a robust AI ecosystem [27][28] - The company is actively involved in practical applications of HPC and AI in various fields, including scientific research, energy, and low-altitude economy, demonstrating its commitment to leveraging technology for societal benefits [28][34][36]