The largest cloud based intelligent computing platform in China, CFFF (Computing for the Future at Fudan), was launched on the 27th at Fudan University. This scientific research "supercomputer" built to discover and solve complex scientific problems was jointly built by Fudan University and Alibaba Cloud. It provides ultra thousand card parallel intelligent computing in an advanced public cloud mode, and supports the training of large models with hundreds of billions of parameters, which is the first example among domestic universities. "CFFF platform consists of AI for Science intelligent computing cluster" Qienwen "No. 1 for multidisciplinary integration and innovation and dedicated HPCC" Jinsi "No. 1 for advanced research." Qi Yuan, president of the Institute of Artificial Intelligence Innovation and Industry Research of Fudan University, introduced that based on 100G high-speed data transmission network and Alibaba Cloud's world leading large-scale heterogeneous computing integration scheduling technology, hierarchical storage technology AI and Big data integration technology, the "Jinsi" No. 1 deployed in Fudan University and the "Qiwen" No. 1 hosted in Alibaba Cloud Ulanqab Data Center 1500 kilometers away have become a real "supercomputer". All experimental equipment in the four Fudan campuses can be accessed at high speed, achieving unified management of heterogeneous computing, unified scheduling of computing tasks, and meeting scientific intelligence research and application needs in different application scenarios. The Alibaba Cloud Ulanqab data center, located on the "East Data and West Computing" node, provides intelligent computing services through the public cloud model of the Apsaras intelligent computing platform. Qi Yuan stated that relying on the public cloud model, projects running on the CFFF platform can enjoy the intelligent computing power of over a thousand card parallel, with the effective computing power of thousand card parallel reaching 92% of the industry's leading level, scalability reaching ten thousand card, and the effective computing power of ten thousand card parallel reaching 90%. Meanwhile, public clouds are more low-carbon and green. Alibaba Cloud green data center technology combines the natural climate advantages of Ulanqab, and the CFFF platform can achieve an annual average PUE of less than 1.2, saving more than 2000 megawatt hours of total power and 1500 tons of carbon annually. It is reported that the first scientific research achievement on the CFFF platform has been born. Li Hao's team from the Institute of Artificial Intelligence Innovation and Industry Research of Fudan University recently released a large model of medium and short term weather forecast with 4.5 billion parameters. The prediction effect reached the industry recognized collective average level of ECMWF (European Centre for Medium-Range Weather Forecasts) for the first time in the public data set, and the prediction speed was shortened from the original hourly scale to 3 seconds. Thousand card parallel intelligent computing based on the CFFF platform completed training in just one day. This is difficult to achieve on traditional computing platforms, "said Li Hao. It is understood that this is also the first large model nurtured on the CFFF platform. Jin Li, president of Fudan University, said that Fudan hopes to build a number of world-class scientific models based on the CFFF platform, such as life science model, material science model, Atmospheric science model, integrated circuit model, etc. It is also understood that the CFFF platform will continue to expand its computing power scale and be open to research institutions, universities, hospitals, high-tech enterprises, etc. outside of Fudan University. On that day, for global researchers