全国最大国产AI算力池来了：部署超3万卡，上千款应用接入

Core Viewpoint - The domestic intelligent computing infrastructure is crossing a critical watershed, marking a significant advancement in the deployment and operationalization of large-scale AI computing clusters in China [1][5]. Group 1: Scale of Deployment - The first domestic AI computing pool with a deployment of 30,000 cards has officially formed, representing the largest operational domestic AI computing pool [3][5]. - The transition from single-point breakthroughs to large-scale deployment indicates a maturity in engineering capabilities for domestic supercomputing clusters [5][9]. Group 2: System Engineering Capabilities - The competition in the large-scale computing cluster market has shifted from merely achieving high card counts to focusing on system-level collaboration, including network, storage, cooling, power supply, and operational optimization [8][9]. - Key capabilities such as controllable cycles, reproducible performance, fault localization, and cost accounting are essential for long-term players in the market [8][12]. Group 3: Real-World Application - The true test for large-scale computing clusters lies in their ability to convert computing power into real business productivity, moving beyond mere demonstrations to practical applications [14][15]. - Successful large-scale applications require open compatibility, making it easier for users to adapt and integrate into existing systems [17][19]. Group 4: Public Infrastructure - The perception of large-scale computing clusters is evolving from being exclusive to large corporations to becoming public infrastructure, serving various sectors such as manufacturing, energy, transportation, research, education, healthcare, and finance [20]. Group 5: Performance in Various Scenarios - The scaleX computing cluster demonstrates its value across three dimensions: stability in large model training, practical service capabilities in high-throughput inference, and accelerated scientific discovery in AI for Science applications [23][26]. - The cluster has successfully supported over 400 mainstream models and thousands of applications, showcasing its ability to integrate with the AI industry ecosystem [21][26]. Group 6: Future Outlook - The release of three scaleX computing clusters signals that merely stacking computing power is no longer the core competitive advantage; future winners must ensure that these clusters continuously deliver value in real-world business applications [27][28].