Exploring IDC Data Centres to Drive the Future of Arithmetic and Address Power Challenges
The foundation of computing power is the data centre, and the foundation of the data centre is energy consumption!
Computing power, the cornerstone of modern technology, is deeply rooted in the data centre. The lifeblood of a stable data centre, the massive structure that supports the digital world, is power.
Recently, Tesla CEO Elon Musk and OpenAI CEO Sam Altman both raised a common concern: electricity may become a key factor restricting the future development of artificial intelligence (AI). Musk bluntly pointed out that with the widespread application of AI technology, electricity may become the next scarce resource.
This view is not groundless. Every leap forward in AI technology is inseparable from the support of computing power, and computing power relies on the continuous supply of electricity from data centers. From self-driving cars to smart homes, from smart manufacturing to smart cities, AI technology is gradually integrating into every corner of our lives, and its demand for electricity is also rising.
The close relationship between computing power and AI energy consumption?
Computing power, as a core indicator of data processing capabilities, requires strong infrastructure to support it. Data centers and intelligent computing centers are the representatives of these infrastructures. In these facilities, thousands of servers and chips are running day and night, processing massive amounts of data. However, the operation of these devices is inseparable from the support of electricity. Therefore, there is an inseparable relationship between computing power and energy consumption.
How much power does AI consume? Reveal the power giant behind the data center!
Taking AI models such as ChatGPT as an example, their power consumption is already quite alarming. According to a report by the International Energy Agency (IEA), ChatGPT consumes an average of 2.9 watt-hours of electricity when responding to a request, and consumes more than 500,000 kilowatt-hours of electricity to respond to about 200 million requests every day. This data is amazing, and it also sounds an alarm for the power consumption problem of data centers.
AI technology is developing rapidly, but the data centers and intelligent computing centers behind it are also quietly consuming a lot of power. Thousands of servers and chips work around the clock to provide powerful computing power support for AI.
The power consumption of global data centers has accounted for a significant proportion of the total power, and with the popularity of AI, this trend is intensifying. The limited power resources are based on huge energy consumption, which makes the sustainable development of AI face challenges.
To combat this problem, we need to improve the energy efficiency of data centers, adopt energy-saving technologies and equipment, and promote the application of renewable energy. Only in this way can we ensure the sustainable development and widespread application of AI technology.
Increase revenue, reduce expenditure, and relieve congestion; my country's power advantages help to reduce energy consumption and reduce energy consumption to achieve a win-win situation!
In the field of electric power, our country has shown significant advantages. We have the world's largest power supply system and have established an advanced clean power generation system. The scale of hydropower, wind power, photovoltaic, biomass power generation and nuclear power under construction have been among the best in the world for many years. These achievements not only demonstrate the strong strength of my country's power technology, but also provide solid energy guarantee for the country's sustainable development.
In the context of the current rapid development of digitalization, the energy consumption problem of data centers has become increasingly prominent. In order to solve this problem, our country has proposed the strategy of “numbering in the east and calculating in the west” to move data centers to Qinghai and other places. This strategy can not only effectively solve the power supply problem, but also significantly reduce heat dissipation energy consumption, achieving a win-win situation.
The Qinghai region has become an ideal location for data centers due to its unique climate conditions. The climate here is dry and cool, allowing the data center to achieve natural cooling for up to 314 days. Compared with other regions, data centers in Qinghai consume significantly less electricity for cooling, about 40% lower than the national average. This advantage not only reduces the pressure on power supply, but also saves companies a lot of operating costs.
Through the implementation of the strategy of “numbering in the east and calculating in the west”, our country has taken another solid step on the road of simultaneously increasing revenue, reducing expenditure, and alleviating blockages. We use our own power advantages to achieve a win-win situation of economic and social benefits by optimizing resource allocation and reducing energy consumption. At the same time, this also laid a solid foundation for our country's development in the digital economy era and demonstrated our country's determination and strength in technological innovation and sustainable development.
Energy management: a new chapter in data center energy conservation!
In addition to continuously optimizing algorithms and improving energy efficiency ratio, intelligent management of data centers plays a vital role in energy conservation, refined management and intelligent control. With fifteen years of IDC data center intelligent hardware R&D experience, Jiansiyan Technology has launched more than fifty products ranging from digital display heads to IP meters, and can customize and develop new products according to customer needs. In an efficient and low-cost manner, we are committed to providing stable and reliable intelligent products for data centers to help them achieve more efficient and environmentally friendly management and operations.
Introduction to PDU Meter Modules of Jiansiyan Technology:
Post time: Jun-03-2024
