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

CTOnews.com April 19 news, according to the Shanghai Economic and Informatization Commission website released, Shanghai Economic Informatization Commission recently issued the "Shanghai to promote unified dispatch of computing resources guidance" (click here to see), the goal by the end of 2023, relying on Shanghai artificial intelligence public computing service platform, access and dispatch more than 4 computing infrastructure, schedulable intelligent computing power of more than 1000 PFLOPS (FP16)

According to the guidance, by 2025, the energy level of Shanghai's artificial intelligence public computing service platform will jump, improve the arithmetic trading mechanism, realize cross-regional intelligent dispatch of computing power, and promote the balance of supply and demand of computing power through efficient power dispatching. The role of promoting industrial development has been significantly enhanced. The computing power of the Shanghai data center exceeds 18000 PFLOPS (FP32); the proportion of green computing power of the newly built data center is more than 10% (excluding the green power in the municipal power structure); the comprehensive PUE of the new large-scale data center in the agglomeration area is reduced to less than 1.25, and the green low-carbon grade is above 4A.

Priority tasks for CTOnews.com to attach relevant documents

(1) to build new facilities for science and technology computing power

Carry out the ranking of the city's numeracy infrastructure and the output capacity of numeracy resources to form a math list. Based on the base of computing resources, promote the head enterprises to access the city artificial intelligence public computing service platform, build an integrated computing scheduling service system and the basic framework of the platform, and realize the unified arrangement of computing resources. Relying on the municipal artificial intelligence public computing service platform, with its own multiple computing power as the traction, gather the application demand, efficiently dispatch the computing power of other provinces and cities, and form the core hub of the application of computing power and the concentration area and display area of innovative achievements, provide public computing services for the city's scientific and technological innovation.

(2) overall planning of the layout of computing infrastructure

Form hub data center cluster, urban data center agglomeration area, edge data center echelon layout. We will speed up the construction of hub nodes in the Yangtze River Delta (Qingpu District as the starting area), Lingang New area, G60 Science and Technology Corridor, Jinshan and other hub data center clusters of the national integrated computing network. Build data center agglomeration areas supporting urban digital transformation in Baoshan, Jiading, Minhang, Fengxian, Zhoupu, Pudong Waigaoqiao and other regions as needed. Guide the flexible deployment of edge data centers on demand by using facilities such as stock communication computer rooms and substations according to the application scenario.

(3) promoting the optimization of computing network construction

Rely on the network resources of basic telecom operators, combined with the characteristics of computing network, build a technologically advanced extremely fast computing power bearing network. Add network backbone nodes as needed to promote the optimization of metro network architecture. Continue to improve network capacity, optimize traffic grooming paths, cross-region cross-domain bandwidth capacity of more than T, high-speed direct connection between local computing resource pools and millisecond delay. Optimize the access network to support high-speed access and efficient scheduling of computing resources.

(4) speeding up the research and development of computing power scheduling technology

We will carry out innovative research and development of key technologies such as multi-cloud management, cloud-network collaboration, computing power measurement, computing power awareness, and computing network integration, cultivate the ecological chain of key core technologies, and improve the level of computing power scheduling. Relying on the municipal artificial intelligence public computing service platform, carry out the verification of application scenarios such as calculating in the east and counting in the west, storing in the west, training in the east and looking in the west, and so on, so as to realize the sharing of multi-place computing resources and the optimal utilization of computing resources in the city.

(5) perfecting the system of arithmetic transaction mechanism.

Comprehensively consider the calculation efficiency, carbon efficiency, time delay, safety and other factors, study and formulate the measurement standard and system of computing resources, classify and classify to establish the price system of computing products. Establish matching docking and trading channels of computing resources, build and improve the standardization system of arithmetic scheduling transactions, standardize the operation and supervision mechanism of computing power transactions, explore the construction of computing power trading centers, and realize online trading and cross-regional sharing of computing resources.

(6) to carry out innovative demonstration of arithmetic integration.

We will build joint innovation laboratories for computing networks in different industries, such as health care, manufacturing, education, etc., realize the docking of supply and demand of computing network resources, tackle major technical problems, and promote the formation of industrial consensus. Relying on the municipal artificial intelligence public computing service platform, it provides a perfect supply of public computing resources for scientific research institutions, scientific start-ups, start-ups, small and medium-sized enterprises, etc., and promotes the demand for computing resources through models such as arithmetic coupons. Expand the application of domestic chips, promote the framework of domestic algorithms, create an algorithm incubation platform, innovate data application models, and enable the development of computing industry.

(7) to build a security system for computing networks.

Explore the supervision mechanism of data life cycle audit certification. Supervise the computing power supplier to clearly define the computing power use process, test verification, data migration, data use and destruction programs, and carry out security checks and assessments on a regular basis. Strengthen the network security system design of the city artificial intelligence public computing service platform, increase the application of privacy computing, security isolation, endogenous security, block chain and other technologies to ensure that enterprise data is available and invisible. Encourage the construction of domestic self-controllable, safe and reliable computing infrastructure and computing application ecology based on domestic self-controllable computing.

(8) to carry out research on industrial standardization

Organize and carry out standardization research work related to the computing network industry. Establish standards for computing power control and access at the network level; unified measurement and scheduling standards for computing power at the computing level; standardize data sets and data lifecycle supervision at the data level; and establish standards for trusted certification and supervision of computing power operation at the application level.

(9) strengthen regional coordination and cooperation

Relying on the municipal artificial intelligence public computing service platform to dock the computing power dispatching resources of other provinces and cities, realize the access of remote and heterogeneous computing power across provinces and cities, promote the overall optimization and on-demand scheduling of computing resources at different levels of "city-Yangtze River Delta region-country", realize the exchange and circulation of data and computing power across provinces, cities, regions, networks and industries, and provide computing services with convenient response, low cost and efficient configuration.

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