Workflow
赛道Hyper | 中软联合硅基流动破局数智转型

Core Viewpoint - The strategic partnership between ChinaSoft International and Beijing Silicon Flow Technology marks a significant step in addressing industry pain points and advancing digital transformation in enterprises, indicating a new phase of collaborative efforts in the digital intelligence wave [1][2]. Group 1: Partnership Overview - ChinaSoft International has over 20 years of experience in various industries, including finance, telecommunications, and manufacturing, with a portfolio of more than 1,000 large-scale projects [2]. - Silicon Flow Technology, established in August 2023, focuses on AI infrastructure and has made notable achievements in adapting domestic chips, enhancing model efficiency on Ascend chips [2][3]. - The collaboration aims to tackle the "last mile" issue in enterprise digital transformation by leveraging the complementary strengths of both companies [2]. Group 2: Technological Developments - In February 2025, Silicon Flow launched the DeepSeek R1/V3 inference service in collaboration with Huawei Cloud, achieving performance comparable to high-end GPU deployments [4]. - The partnership has developed four core platforms that address key aspects of enterprise digital transformation, creating a complete ecosystem from computing power support to application implementation [4][5]. Group 3: Platform Features - The high-performance AI platform integrates AI algorithms and computing resources to assist enterprises in data analysis, particularly beneficial in the financial sector for investment decision-making and risk assessment [5]. - The model service platform offers various AI model resources for customized development, enabling businesses to create tailored solutions, such as product recommendation models in e-commerce [6]. - The knowledge management platform organizes internal and external knowledge for efficient employee access, enhancing problem-solving capabilities in manufacturing [7]. - The intelligent application development platform allows enterprises to automate business processes, such as developing intelligent customer service applications to handle high volumes of inquiries during peak sales periods [8]. Group 4: Future Directions - The partnership is expected to expand into sectors like energy, transportation, and education, focusing on AI-driven solutions such as intelligent grid scheduling and personalized learning platforms [10]. - This collaboration not only addresses current digital transformation challenges but also proposes a replicable and scalable model for other enterprises, encouraging further exploration in the digital intelligence landscape [11].