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Guangdong: a national intelligent computing hub will be built, with the goal of being the first in the country in 2025.

2025-01-30 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > IT Information >

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Shulou(Shulou.com)11/24 Report--

Thanks to CTOnews.com netizen amocken for the clue delivery! According to CTOnews.com news on November 13, the Guangdong Provincial people's Government today issued the Guangdong Provincial people's Government's opinions on speeding up the Construction of a General artificial Intelligence Industry Innovation leading place, which puts forward the following goals:

By 2025, the scale of intelligent computing will be the first in the country and the leading in the world, the technological innovation system of general artificial intelligence is relatively complete, the high-level application scenarios of artificial intelligence will be further expanded, the scale of core industries will exceed 300 billion yuan, and the number of enterprises will exceed 2000.

Tuyuan Pixabay has built Guangdong into a national general artificial intelligence industry innovation leading place, building a national intelligent computing hub center, Guangdong-Hong Kong-Macau Greater Bay Area data special zone, and a national demonstration highland for scene application.

The part of "opinions" attached to CTOnews.com is as follows:

Create a general artificial intelligence computing ecology: research and development of universal and programmable high-end training and reasoning chips, multi-modal and multi-precision computing chips, and explore a new architecture of reconfigurable and integrated computing. Develop efficient and easy-to-use basic software such as open source artificial intelligence chip compiler and tool chain, support the adaptation of autonomous artificial intelligence chips and domestic general servers, and build a perfect self-controllable artificial intelligence software and hardware ecology.

Create the hub node of the national computing network: play a core role in building the "China Computing Network", and realize the interconnection of large-scale heterogeneous computing centers such as the national open and innovative platform for public computing power and the intelligent computing center. Promote the National Computing General Dispatch Center and Guangdong-Hong Kong-Macau Greater Bay Area Computing Dispatch Center to speed up the landing in Shenzhen and Shaoguan. We will optimize the platform for the release and sharing of computing resources in Guangdong Province, form a significant advantage in the scale of intelligent computing, and serve the development of the national digital economy and the major strategy of "calculating from the east to the west".

Build a city-level computing platform in line with international standards: support prefectures and cities in accordance with national and provincial planning and layout requirements for data centers, and rely on research institutions, colleges and universities, leading enterprises, etc., to effectively integrate urban computing resources, integrate with the most advanced international computing products and framework, build a city-level computing scheduling platform, and achieve resource sharing and optimal allocation. We will support the construction of an open and innovative platform for a new generation of artificial intelligence, public computing and computing, to meet the needs of scientific research and innovation.

Focus on building high-quality multimodal Chinese data sets: thoroughly implement the second round of public data resources census in Guangdong, gather high-quality and highly available Chinese data, and carry out public data tagging efforts. Create a common space for public and public welfare data, build an industry-oriented high-quality Chinese corpus database, and promote the collection, access, sharing, processing and use of typical industry data. Privacy computing supports the security of sample data flow, and builds a trusted data tagging and model training environment. Encourage data circulation and trading in legally established data trading institutions, and promote cross-disciplinary and cross-industry data fusion.

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