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Huaneng International and others set up a new energy company in Nanjing with a registered capital of 164 million yuan. According to Sky Eye App, Huaneng (Nanjing Jiangning) New Energy Co., Ltd. was recently established, with the legal representative of Wang Changbin and a registered capital of 164 million yuan. Its business scope includes power generation business, power transmission business, power supply (distribution) business, construction project supervision, wind power generation technical services, energy storage technical services, solar power generation technical services, and investment activities with its own funds. According to shareholder information, the company is jointly owned by Huaneng International Power Jiangsu Energy Development Co., Ltd. and Sino-Singapore Green Investment Private Co., Ltd. under Huaneng International (600011).The change in the concept of computing power leasing has increased the daily limit of Yakang shares and Chengdi Xiangjiang, and the concept of computing power leasing has increased. Both Yakang shares and Chengdi Xiangjiang have daily limit, and Runze Technology, Yunsai Zhilian, Tongniu Information and Kehua Data have followed suit.FTSE China A50 index futures opened 0.04% higher, and closed down 0.05% in the last session.

The Hang Seng Science and Technology Index rose to 1%, and the Hang Seng Index is now up 0.70%.Sora concept stocks fell, Huayang Lianzhong fell, Easy Point World, Fushi Holdings fell more than 8%, and Wanxing Technology fell nearly 5%.Argentine President Millay: It is planned to cancel capital controls next year. Argentine President Millay said in a televised speech on December 10 local time that Argentina plans to cancel capital controls next year. Millay said that Argentina's economic team is preparing to carry out structural tax reform, which will abolish 90% of taxes, and the Argentine government will ban more institutions and listed companies in the new year. Demián Reidel, economic adviser to Milai, will announce Argentina's nuclear energy plan in the next few days.

Galaxy Securities: The economies of scale of the network industry chain are expected to be prominent. The Galaxy Securities Research Report pointed out that the supply of new kinetic energy in emerging communication industries is constantly enriched, and the economies of scale of the network industry chain are expected to be prominent. With the development of AI, the promotion of 6G and the popularization of satellite-related services in the future, in order to gain greater global leadership in digital technology, China's technological changes need to be accelerated. The integration of 5G-A/6G synaesthesia and general intelligence computing respectively add perceptual and AI elements to the communication network, and continue to deepen the supply capacity upgrade of key links such as chip modules, industry terminals, virtual private networks and common capability platforms, so as to empower the development of emerging industries. The upgrading of communication technology focuses on promoting the integration and innovation of digital technology, bringing about the upgrading of traditional industrial production and operation. Generally speaking, the development of 5G+ promotes multi-directional deep empowerment, and the effect of economies of scale is expected to be prominent. Looking forward to the future, new infrastructure and new applications will usher in great development.China's one-year interest rate swap hit a four-year low, and China's one-year interest rate swap (IRS) fell sharply this week, falling below the 1.50% mark for the first time since 2020. The data shows that the one-year interest rate swap was still around 1.50% at the beginning of Wednesday, and once fell to 1.4825% in the previous session, setting a new low since May 2020.IBM's new optical technology can greatly speed up the training of AI models. IBM announced the development of a new optical technology, which can train AI models at the speed of light and save energy greatly. The company said that by applying this breakthrough to the data center, the energy saved by training an AI model is equivalent to the energy consumption of 5,000 American families in one year.