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China builds platform to hone AI edge

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xinwen.mobi 发表于 2025-8-26 13:01:26 | 显示全部楼层 |阅读模式
China is building various platforms to enhance its AI edge. The main platforms and their relevant information are as follows:Integrated National Computing Power Platform: China is accelerating the construction of an integrated national computing power platform. This platform aims to improve the quality and efficiency of computing resources, which is of great significance for strengthening the country's capabilities in core technologies such as AI chips. As the backbone of AI development, computing power includes technologies such as chips and data centers. The platform has intelligent scheduling capabilities, which can efficiently match the supply and demand of computing power. For example, it enables businesses in eastern China to use the idle computing resources in western China."Huanxin Community" Platform: The "Huanxin Community" was officially released at the 2025 World Artificial Intelligence Conference. It is coordinated and promoted by the State-owned Assets Supervision and Administration Commission of the State Council and jointly built by central enterprises and the industrial chain. It is positioned as an open-source and open innovation platform for AI serving the whole society. Relying on the two characteristics of technological leadership and domestic ecology, it gathers high-quality resources such as diversified domestic AI computing power, excellent open-source basic models, characteristic industry models of central enterprises, high-quality datasets, and various AI development toolchains. It aims to comprehensively promote the maturity of independent AI technology and industrial ecology through the open-source and open of excellent technological achievements, the sharing of AI+ application landing experience, and application innovation drive.Edge Digital's Trusted Intelligent Collaborative AI Data Processing Platform: Edge Digital, an AI technology innovation enterprise in Shenzhen, has built a "MCPSec+" technical framework with the core of "trustworthiness, intelligence, and collaboration". This platform empowers enterprises to achieve full-process automation and full-link trustworthiness in AI data processing, covering the entire AI life cycle of data preprocessing, annotation, training, and inference, and solving the pain points of low efficiency, high cost, and poor security in the traditional model.
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