Recently, at the MindSpore AI Framework Summit held in Beijing,CloudWalk Technology Co., Ltd. (hereinafter referred to as"CloudWalk Technology"), as an important ecosystem partner,releasedits native large model achievements developed based on the MindSporeMindSpore AIframework.
This summit not only marks a new height in the deep cooperation between CloudWalk Technology and Huawei MindSpore in theAIfield, but also indicates that both parties will continue to work together in the future to promote the healthy development of theAIframework ecosystem in China and globally.
Zhou Xiang, Deputy Director of the CloudWalk Technology Research Institute, was invited to attend the MindSpore AI Framework Summit
Promoting Framework Ecosystem Driving Industrial Innovation
At this summit, CloudWalk Technology, together with China Unicom, China Merchants Bank, Zhipu AI, and18other ecosystem partners, jointly released native large model development achievements based on the MindSporeAIframework.
Since2020the open-sourcing of MindSpore in 2020, CloudWalk Technology has established a close cooperative relationship with MindSpore. Relying on the high-performance computing platform and rich open-source resources provided by MindSpore, it has carried out multiple native large model application developments for key industries such as finance, government, manufacturing, energy, and transportation.
Especially in6March of this year,CloudWalk Technologyit fully initiated native development cooperation with Huawei, based on the MindSporeMindSpore AIframework, Ascend hardware base, Ascend Heterogeneous Computing Architecture (CANNCANN), andMindIEinference engine, to develop native large models and applications for industries such as finance, government, manufacturing, energy, transportation, and telecommunications.
It is worth noting that the cooperation between CloudWalk Technology and MindSpore is not limited to the technical R&D level. Both parties have actively applied the cooperation results to practical scenarios, such as smart ports, intelligent manufacturing, and smart energy. Through joint efforts with partners like Tianjin Port Group, ShouChain Technology, Jinshiyuan, State Grid Shandong, and China Telecom, CloudWalk Technology has successfully transformed large model technology into practical productivity, providing strong support for digital transformation across various industries.
CloudWalk Technology will actively seize the development trend of the domestic large model ecosystem moving from"application migration" to "native development," combining computing power, algorithms, and data to improve development efficiency, enhance model performance, accelerate application deployment, and provide personalized solutions tailored to the characteristics and needs of different industry customers, offering a more secure, reliable, and independently innovative intelligent upgrade path for multiple industries, and jointly advancing the development of China's AI industry with domestic and international technology partners.
CloudWalk Technology and Shum Yip Capital recently completed a strategic investment in Xuanjia Technology, a Chinese AIGC audiovisual company, through the Ganzhou Shum Yip CloudWalk Intelligent Technology Equity Investment Fund, which they jointly established. Xuanjia Technology specializes in AI audiovisual content generation. It has developed the Kino-AIGC large model and the Kino Vision platform for AI short dramas, with applications in short dramas, culture and tourism, digital commerce, and government and enterprise services. Its Kino-AIGC model has completed the filing process for generative AI services and generated more than 100,000 minutes of AI video, reflecting a shift from technology demonstrations to content production at scale.
At CloudWalk Technology in Chongqing's Liangjiang New Area, a strategic project aimed at reshaping the regional industrial intelligence landscape—the "Chongqing Industrial Large Model and Agent System Industry Innovation Complex"—is accelerating, becoming a benchmark for local high-tech enterprises to visit and learn from.
AI makes individuals faster, but why doesn't the company become faster? Large models are significantly reducing the cost of intellectual supply. Tasks like writing, analysis, design, and programming that once relied on specialized talent are becoming capabilities that can be called upon at any time. As intelligence becomes more abundant, judgment and organizational skills become scarcer. When individuals use AI, efficiency gains are immediate. But in enterprises, increased individual output can also lead to more errors, rework, review, and collaboration costs. Technical capabilities do not automatically translate into organizational productivity.
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