Group 1: National Unified Market Development - The core viewpoint is that China is advancing the national unified market through institutional innovation, technological empowerment, and regional collaboration, with a focus on accelerating the cross-regional flow of data elements [1] - The value added of the digital economy's core industries exceeded 12 trillion yuan in 2023, accounting for 10% of GDP, highlighting the multiplier effect of data elements on the unified market [1][3] - Beijing has implemented a unified public data directory management system, opening 18,000 high-quality datasets across over 70 scenarios, and exploring a model for data products that allows for mutual recognition across regions [3] Group 2: Regional Collaboration Achievements - The Yangtze River Delta has achieved seamless integration of international shipping routes and manufacturing data, reducing logistics costs by nearly 30% [4] - The Beijing-Tianjin-Hebei region has implemented 230 standardized government services and mutual recognition of qualifications, with plans to add 20 more by 2025 [4] - National tax data indicates that inter-provincial trade sales accounted for 40.4% of total sales in the first four months of 2025, an increase of 0.6 percentage points from the previous year [4] Group 3: Technological Foundation - The "East Data West Computing" project optimizes computing resource allocation and reduces data circulation costs [5] - A data security early warning platform in Shenzhen uses AI to monitor data flow risks, reducing compliance costs by 30% [5] - Nationwide, 24 data trading institutions have initiated mutual recognition and communication, significantly lowering data circulation costs [5] Group 4: Challenges for SMEs - Over 68% of SMEs delay digital projects due to high hardware investment costs, and 42% are limited by fluctuating rental prices and unstable resources [8] - There is a significant issue of data silos within SMEs, with only 9% achieving full-process digital collaboration [9] - SMEs face technical barriers due to poor compatibility of heterogeneous computing resources, impacting their ability to utilize AI and industrial simulation [10] Group 5: TianGang Intelligent Computing Platform - The TianGang Intelligent Computing Trading Platform addresses SMEs' core pain points by providing flexible supply, heterogeneous compatibility, and intelligent scheduling [11] - The platform aggregates mainstream computing resources, allowing SMEs to rent computing units on an hourly basis, increasing utilization rates to 85% [11] - A modular deployment solution enables cross-departmental collaboration, improving efficiency by 60% and reducing model training cycles by 45% [12] Group 6: Conclusion - The TianGang Intelligent Computing Trading Platform aims to activate the potential of data elements through inclusive computing services, supporting the construction of a national unified market [14] - The platform integrates resources to break down computing barriers and enhance collaboration, allowing SMEs to access intelligent computing resources at a low cost [14] - As regional cooperation deepens and the platform evolves, it will continue to promote the efficient flow of data elements, contributing to China's transition from a "data powerhouse" to a "computing powerhouse" [14]