Core Insights - The forum focused on the development trends of computing power infrastructure in the AI era, emphasizing the importance of collaboration and innovation for high-quality development in the AI industry [1][2]. Group 1: Forum Highlights - The forum was guided by the World Artificial Intelligence Conference Committee and featured discussions on key topics such as technological innovation paths and industry ecosystem collaboration [1]. - Shanghai's commitment to becoming a global digital hub was highlighted, with a focus on accelerating the layout of new-generation information infrastructure [1]. Group 2: Company Initiatives - Kehua Data's President emphasized the role of computing power infrastructure as a core engine for industrial intelligent transformation, leveraging nearly 40 years of experience in power electronics and over 10 years in data center operations [2]. - The company aims to provide comprehensive scenario-based computing power service solutions, focusing on green energy to drive a smart future [2]. Group 3: Product Launch - Kehua Data launched the Computing Power Platform V2.0, which integrates a nationwide management and scheduling system for diverse computing power resources across four major intelligent computing clusters [3]. - The platform aims to enhance the delivery capability across various industry applications by connecting technology, ecosystem, and scenario value dimensions [3]. Group 4: Strategic Collaborations - The forum included multiple signing ceremonies for strategic partnerships with various companies in the AI and IT service sectors, aiming to build a more comprehensive AI industry ecosystem [4]. - These collaborations reflect industry recognition of Kehua Data's technological strength and service capabilities, laying a solid foundation for future innovations and commercial applications in the AI sector [4]. Group 5: Expert Discussions - A roundtable discussion addressed the evolution and innovative practices of computing power infrastructure in the AI era, focusing on industry pain points, technological trends, and business models [4]. - Participants shared valuable insights and practical wisdom on the effective application of AI technologies in real-world scenarios [4].