Core Viewpoint - The article discusses the emergence of a new business model in the AI industry, specifically focusing on the success of a startup, Gongji Technology, which has effectively commercialized the concept of shared computing power, addressing the growing demand for AI inference capabilities [4][6]. Group 1: Market Demand and Trends - The year 2025 is anticipated to be a pivotal year for AI Agents, leading to a significant increase in demand for AI inference computing power, with IDC predicting that the workload share of inference servers will rise from 51.5% in 2020 to 62.2% by 2026 [4]. - The demand for AI services has led to the emergence of various AI companies, including those focused on video generation and companion robots, which face challenges related to high long-term server rental costs from cloud providers [5][6]. Group 2: Business Model and Innovation - Gongji Technology offers a flexible computing power service that allows users to pay based on actual usage, addressing the need for stable and elastic computing resources [6][30]. - The company has developed a unique model that treats the city as a large distributed data center, where idle computing resources from individual users can be matched with AI companies needing processing power [7][30]. - The startup has achieved a stability rate of over 99.9% in its service, allowing for seamless transitions between idle computers for task execution [7][23]. Group 3: Company Background and Growth - Gongji Technology was founded by a team of young entrepreneurs, including a dropout from a PhD program, who identified a significant market need for shared computing resources after experiencing challenges in their own research [8][9]. - The company has successfully transitioned from a consumer-focused model to serving B2B clients, generating over 20 million yuan in revenue in the first half of 2023, primarily from business clients [8][70][71]. Group 4: Challenges and Solutions - The company faced skepticism from investors due to the historical challenges of monetizing shared computing power, which had not been successfully achieved in the past [16][18]. - Gongji Technology has navigated technical challenges by iterating its product over 80 times to ensure ease of use for individuals sharing their computing power [7][30]. Group 5: Future Outlook - The company is positioned to participate in national-level infrastructure projects, indicating a growing recognition of the importance of shared computing resources in the AI landscape [22][35]. - The founders believe that the future of computing power will increasingly rely on flexible, on-demand services rather than traditional long-term rentals, which are often inefficient for fluctuating AI workloads [29][30].