Core Viewpoint - The significance of computing power is evolving from a simplistic "more is better" approach to a more complex understanding of what type of computing power truly serves applications and can be widely utilized [1] Group 1: The Concept of Supernodes - The term "supernode" is being redefined in the industry, transitioning from a broad concept to a more narrowly defined one, often equated with specific large-scale system architectures [3] - While large-scale clusters are essential for training foundational models and pushing performance boundaries, the industry narrative has shifted towards a focus on size and strength rather than suitability for diverse applications [3] Group 2: Demand Side Perspective - The true drivers of AI adoption are not just leading enterprises but a vast number of small and medium-sized businesses, traditional industries, and public service organizations that require stable operational models rather than just larger models [4] - The value of computing power is increasingly measured by deployability, stability, and cost structure, rather than extreme performance [4] Group 3: The Challenge of Usability - The evaluation of what constitutes "usable" technology is complex and relies on real-world scenarios and user participation, rather than just technical specifications [5] - Without widespread access and usage, it is difficult to form genuine feedback on the usability of supernodes, leading to a disconnect between supply and demand [5][6] Group 4: A Healthy Computing Power Ecosystem - An effective computing power ecosystem should consist of a clear hierarchical structure, including large-scale clusters for cutting-edge exploration, medium-scale units for industry applications, and flexible resources for innovation [8] - The definition of usability standards should emerge from broader user experiences rather than being dictated by a single narrative or parameter system [8]