Xin Hua She·2025-05-17 13:05Core Viewpoint - The launch of the computing power internet trial network aims to address the growing demand for computing power in the digital economy, facilitating the interconnection of distributed computing resources across different regions and entities [1][2]. Group 1: Definition and Importance of Computing Power - Computing power refers to the ability to process data, which is essential for various applications such as AI, big data, and cloud computing, impacting daily life significantly [2]. - In the digital economy, computing power is likened to essential public resources like water and electricity, highlighting its critical role in serving diverse industries [2]. Group 2: Current Challenges - There is a notable supply-demand imbalance in computing power, driven by rapid advancements in technology, while the resources remain fragmented and lack unified interfaces and protocols [2]. - The need for a system that allows users to access computing resources anytime and anywhere is emphasized, necessitating the interconnection of computing resources [2][3]. Group 3: Functionality of Computing Power Internet - The computing power internet aims to aggregate distributed computing resources online, enabling the transmission of computing tasks and data to appropriate resource pools [2]. - It is compared to the human circulatory system, where computing resources act as the heart and the computing power internet serves as the veins supplying "blood" to the digital economy [3]. Group 4: Benefits to Society - The computing power internet can enhance medical diagnostics and personalized treatment plans through AI, and improve user experiences in entertainment via cloud rendering and gaming [4]. - The construction of the computing power internet is expected to accelerate the arrival of a consumer-level computing power application era, making applications more accessible and flexible [4]. Group 5: Future Focus Areas - Key efforts for the computing power internet include deploying trial networks in critical regions and industries, enhancing resource perception and demand-supply matching capabilities [5]. - There is a focus on overcoming key technological challenges in areas such as computing power identification, scheduling, and cross-domain transmission, alongside building a technical standards system [5]. - Expanding industry applications in fields like AI, scientific computing, and smart manufacturing is crucial for deep integration with sectors such as healthcare, education, and intelligent manufacturing [5].