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On September 11, 2026, the Yangtze River Delta AI4S computing power cluster was launched in Shanghai, marking a key step in the field of scientific and intelligent computing power infrastructure construction. The reporter learned from the Jing'an district of Shanghai that the Yangtze River Delta AI4S computing power cluster launched this time was jointly promoted by the Shanghai Municipal and Jing'an District departments, and jointly built by Shanghai Electronics, Silang Technology, and the Shanghai Data Port, which will provide an autonomous and controllable computing power base for scientific research, innovation and industrial upgrading in strategic fields such as biomedicine, new materials, and new energy. Based on the “Wisdom” open community platform, all parties have completed the full technical link of the super-intelligent integrated service matrix, opened up a full-process application path of “scientific calculation to generate data, data-driven model training, and models feed back scientific research innovation”, and achieved many benchmark results in actual scientific research and industrial scenarios.
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On September 11, 2026, the Yangtze River Delta AI4S computing power cluster was launched in Shanghai, marking a key step in the field of scientific and intelligent computing power infrastructure construction. The reporter learned from the Jing'an district of Shanghai that the Yangtze River Delta AI4S computing power cluster launched this time was jointly promoted by the Shanghai Municipal and Jing'an District departments, and jointly built by Shanghai Electronics, Silang Technology, and the Shanghai Data Port, which will provide an autonomous and controllable computing power base for scientific research, innovation and industrial upgrading in strategic fields such as biomedicine, new materials, and new energy. Based on the “Wisdom” open community platform, all parties have completed the full technical link of the super-intelligent integrated service matrix, opened up a full-process application path of “scientific calculation to generate data, data-driven model training, and models feed back scientific research innovation”, and achieved many benchmark results in actual scientific research and industrial scenarios.
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