Shanghai has issued its 15th Five-Year plan for accelerating new industrialization and building a modern industrial system, laying out a broad technology agenda centered on computing infrastructure, AI models, and selected strategic sectors. The document calls for a full upgrade of intelligent computing capacity, including work on high-performance, low-power, and high-efficiency computing chips, stronger cluster networking and cloud service capabilities, and exploration of new architectures such as heterogeneous computing, optical computing, and quantum artificial intelligence. It also calls for optimizing intelligent computing infrastructure and building a city-level computing power network.
The plan says Shanghai will continue to invest in large models, with a focus on next-generation model research and development and key technologies including architecture design and training optimization. It also aims to promote coordinated development across chips, large models, and intelligent computing cloud services while building an independent ecosystem. In parallel, the city will push forward the “Moli Jushen” initiative, accelerate embodied intelligence technology maturation, and strengthen the independent full-industry-chain layout for intelligent robots. The document also names real-world deployment areas including industrial manufacturing, logistics assembly, commercial retail, healthcare and eldercare, and household services. In Jing’an District, blockchain is listed under the district’s featured industrial tracks within data intelligence.
Shanghai has released the 15th Five-Year Plan for Accelerating New Industrialization and Building a Modern Industrial System, outlining a technology roadmap that includes intelligent computing, large AI models, embodied intelligence, and blockchain.
Computing capacity, chips, and new architectures
The plan calls for a comprehensive upgrade of intelligent computing capacity. It specifically mentions efforts to develop computing chips with high performance, low power consumption, and high efficiency, while improving cluster networking and cloud service capabilities. It also calls for exploring new architectures including heterogeneous computing, optical computing, and quantum artificial intelligence.
City-level computing network and large-model development
According to the plan, Shanghai will optimize intelligent computing infrastructure and build a citywide computing power network. The document also says the city will continue to focus on large models, centering on next-generation model research and development and key technologies such as architecture design and training optimization. It adds that Shanghai will promote coordinated development across chips, large models, and intelligent computing cloud services, with the goal of building an independent ecosystem.
Embodied intelligence and robotics rollout
The plan also calls for deeper implementation of the “Moli Jushen” initiative, faster maturation of embodied intelligence technology, and stronger independent full-industry-chain布局 for intelligent robots. It says performance in key links should be improved, with real-world applications pushed in industrial manufacturing, logistics assembly, commercial retail, healthcare and eldercare, and household services.
Jing’an District names blockchain as a featured track
The document says Jing’an District will focus on featured industrial tracks led by ultra-high-definition audiovisual, data intelligence, and beauty and health. Within data intelligence, it specifically lists data corpora and AI applications, as well as blockchain.
This article was originally published by Bit.Fan. For more cryptocurrency news and market insights, visit www.bit.fan. Disclaimer:
The market information, project data, and third-party content displayed on this platform are for industry information sharing only and do not constitute any form of investment advice or return commitment.
Cryptocurrency trading carries high risks. Users should fully assess their risk tolerance and make independent decisions. All profits, losses, and legal responsibilities are borne by the users themselves.
