China
China advances coordinated development of computing power and electricity amid AI boom
By Wang Yunshan, People’s Daily
Artificial intelligence (AI) is rapidly emerging as a defining force in the current wave of technological revolution and industrial transformation. As AI applications expand across industries, computing infrastructure continues to expand — and with it, the demand for electricity.
The International Energy Agency (IEA) projects that global investment in computing infrastructure will continue to grow rapidly. By 2030, electricity consumption by data centers worldwide is expected to nearly double compared to 2025 levels.
Reflecting this trend, this year’s Chinese government work report called for advancing new infrastructure projects, including hyperscale intelligent computing clusters, and promoting the coordinated development of computing capacity and electricity supply.
Why is closer integration between computing power and electricity becoming so important?
The figures tell the story.
In 2025, China’s computing centers consumed 170 billion kWh of electricity, accounting for 1.6 percent of the country’s total electricity consumption. Power demand from computing facilities at the eight national hub nodes of China’s integrated computing network has become a major driver of incremental electricity consumption, with an average annual growth rate of 39.5 percent over the past three years, far outpacing overall electricity demand growth.
“At its core, AI involves highly complex calculations on enormous volumes of data,” explained Tian Lei, director of the energy strategy center at the Energy Research Institute under the National Development and Reform Commission.
“Whether training large AI models or running inference in everyday applications, AI requires continuous large-scale computing, which depends on high-performance, high-power chips. That is the fundamental reason AI consumes so much energy,” Tian added.
Consider a single AI chip. A chip with a power rating of about 700 watts typically consumes more than 10 times the electricity of a conventional central processing unit.
“A cluster equipped with 10,000 such AI chips would require around 7 megawatts of power for the chips alone,” Tian said.
The challenge extends beyond computing hardware itself.
Running these chips continuously at high loads generates enormous amounts of heat. To ensure safe and reliable operation, computing centers require extensive cooling, ventilation, and temperature-control systems.
“Energy-saving technologies have significantly improved cooling efficiency over the years,” Tian noted. “Even so, cooling systems still account for more than 1/5 of a computing center’s total electricity consumption on average.”
Operating around the clock, a 10,000-chip AI cluster — including both the chips and supporting systems — consumes at least 200,000 kWh of electricity every day, Tian told People’s Daily.
The rapid expansion of the AI industry is expected to further drive electricity demand
China’s computing capacity continues to grow at a rapid pace. By the end of March this year, the country’s intelligent computing capacity had reached 1.882 million petaFLOPS, about 2.5 times the level recorded a year earlier. Strong growth is expected to continue.
During the 15th Five-Year Plan period (2026–2030), electricity consumption by China’s computing sector is projected to increase by more than 100 billion kWh annually, reaching 800 billion kWh by 2030, or roughly 6 percent of the country’s total electricity consumption.
AI computing facilities also require exceptionally stable electricity. Even minor fluctuations in voltage or frequency can lead to data transmission errors or equipment failures. Meeting AI’s energy needs therefore requires not only sufficient electricity supply, but also consistently high-quality power.
What advantages does China have in meeting AI’s growing electricity demand?
In terms of supply capacity, China has already built the world’s largest power supply system.
By the end of May this year, the country’s total installed power generation capacity had reached 4.01 billion kilowatts, accounting for nearly 30 percent of the global total, equivalent to about 1.7 times the combined installed capacity of the European Union and the United States.
Wang Hongzhi, head of the National Energy Administration, noted that China’s energy supply has remained stable and orderly throughout this year, demonstrating the resilience of the country’s energy system. This stability, he said, provides confidence that the system can meet the rising electricity demand driven by AI development.
At the same time, China’s power mix is becoming increasingly greener.
By the end of May, non-fossil fuel power generation capacity accounted for 62 percent of the country’s total installed capacity, about 30 percentage points higher than in 2012.
Today, virtually all newly added electricity demand in China is being met by renewable power, reflecting steady progress in the country’s green transition.
Market mechanisms have further accelerated this shift.
In 2025, China’s cumulative green electricity trading volume reached 328.5 billion kWh, while cross-provincial and cross-regional green power transactions continued to expand. The country has also established the world’s largest green electricity certificate market, with 930 million certificates traded last year.
Newly built data centers in locations such as Horinger in north China’s Inner Mongolia autonomous region and Qingyang in northwest China’s Gansu province already source more than 80 percent of their electricity from renewable energy.
Recently, the National Energy Administration, together with other government departments released a series of policy documents, including an action plan for promoting mutual empowerment of AI and energy, which further clarify key priorities for integrating AI with the energy sector.
These policies are designed to strengthen the supply of safe, reliable and green electricity needed for AI development, while also providing stronger institutional support for deeper integration and mutual empowerment between AI and the energy industry.
China
Inside China’s first quantum-powered demonstration substation
By Xu Jing, People’s Daily
Quantum technology is beginning to transform the way China’s power grids operate. At the 220-kilovolt Houdian Quantum Application Demonstration Substation in Hefei, east China’s Anhui province, a suite of advanced quantum technologies is now in use. These include diamond-based quantum sensing materials to monitor current fluctuations, quantum-dot gas sensors to detect potential cable fire hazards and partial discharge faults inside switchgear, and other innovations that strengthen the intelligence, safety, and efficiency of grid operations.
Commissioned in November 2024, the facility is China’s first demonstration substation dedicated to the systematic application of quantum technologies. It has deployed 85 independently developed quantum devices across 18 categories, covering quantum sensing, quantum communication, and quantum computing.
The project represents a pioneering effort to integrate quantum technologies into power grid engineering, offering a new technological solution to the challenges faced by conventional power grids while supporting the development of a new-type power system.
The substation also represents a new generation of fully unattended intelligent substations.
“We have replaced many manual inspection tasks with high-precision quantum sensing equipment,” said Tian Teng, a young engineer at the digitalization institute of the electric power research institute under State Grid Anhui Electric Power Co., Ltd. “The new system can identify and diagnose equipment defects much faster, reducing both inspection costs and operating expenses.”
Inside the high-voltage switchgear hall, rows of power equipment operated steadily. Standing beside an out-of-service switchgear cabinet, Tian pointed to a small device mounted on its side.
“This is a quantum-dot multi-parameter sensor,” he explained. “It continuously monitors the cabinet’s internal environment and detects signals associated with partial electrical discharge, enabling us to assess the condition of the switchgear.”
He then pointed to another compact device attached to a cable beneath the cabinet.
“This is a distribution network current sensor. It monitors line loading in real time and can quickly and accurately locate faults along the transmission line.”
Quantum technologies are embedded throughout the facility — not just in these compact sensing devices.
Quantum technologies are embedded throughout the facility — not just in these compact sensing devices. A quantum lidar system installed on the rooftop monitors atmospheric particles and cloud conditions within a 15-kilometer radius, providing early warnings of weather-related risks. Quantum attitude sensors mounted on transmission towers can detect magnetic field changes as small as 1/10,000 of the Earth’s magnetic field, enabling highly accurate monitoring of tower alignment.
Besides, quantum encryption equipment supports both fiber-based quantum secure communications and “5G + quantum” encrypted communications, significantly enhancing cybersecurity across the power network.
The innovation extends beyond physical equipment. The substation has adopted a quantum computing-based approach for power flow analysis, which has been validated using the topology of a real-world power grid on Origin Wukong, China’s domestically developed quantum computer.
“This breakthrough provides an entirely new technical approach for large-scale power grid simulation,” Tian said. “It is expected to further improve the real-time analytical and computing capabilities of power systems.”
Why did China build this quantum-powered substation?
According to Tian, conventional power grids are increasingly facing three major challenges as renewable energy and power-electronics-based equipment become increasingly widespread: limited accuracy in equipment condition monitoring and delayed response; insufficient security for data transmission and control instructions; and the computational limitations of conventional computers when making rapid decisions for increasingly complex grid operations.
Developing a new-type power grid supported by quantum technologies has become an inevitable choice, he said.
Developing the necessary equipment, however, was far from straightforward.
There were no domestic precedents, no established standards and no mature technical solutions to follow, said Zhao Long, head of the power quantum sensing laboratory at the electric power research institute under State Grid Anhui Electric Power Co., Ltd.
“The biggest challenge came when supplies of high-quality diamond sensing materials were cut off by overseas suppliers, bringing the project close to a standstill,” he added.
The team eventually partnered with domestic materials researchers to develop customized alternatives. After repeated rounds of experimentation and testing, they achieved a breakthrough.
New engineering challenges soon emerged, including electromagnetic interference and adapting laboratory technologies to real operating conditions.
“For several consecutive months, we spent our days at the substation collecting data and tuning system parameters, and our nights back in the laboratory refining algorithms and improving packaging and shielding designs,” Zhao recalled.
“When the quantum current transformer finally displayed accurate readings on the monitoring screen, everyone on the team burst into applause. We had successfully bridged the ‘last mile’ from laboratory research to real-world engineering.”
According to project estimates, the application of quantum technologies enables the Houdian demonstration substation to reduce annual electricity measurement errors by more than 500,000 kilowatt-hours, while significantly improving the reliability and economic efficiency of grid operations.
Several quantum technologies first demonstrated at the substation have since been deployed elsewhere across Anhui province and are now being introduced to more regions across China.
China
Chinese robots expand global reach through diverse applications
By Ouyang Jie, Liu Junguo, People’s Daily
From factories and power plants to warehouses and emergency response sites, Chinese-made robots are increasingly being deployed across a wide range of applications worldwide.
This expansion reflects not only the rapid growth of China’s robotics industry but also the ability of Chinese companies to develop products tailored to diverse market needs, improve service capabilities, and build localized operations overseas.
At the assembly workshop of Pudu Robotics, a Chinese service robotics manufacturer located in Jianhu county, east China’s Jiangsu province, five production lines were running at full capacity for 10 hours.
Workers at assembly stations were installing new batches of lidar modules into robot bodies. The company’s production schedule has already fully booked through 2027, with factory production plans significantly tighter than last year.
Founded in 2016, Pudu Robotics has focused on the global commercial service robot market. It has shipped more than 130,000 units and served over 50,000 end customers worldwide.
Since the beginning of this year, the company’s exports have already exceeded the total volume of the previous year, with products sold to 85 countries and regions. Its cleaning robots, in particular, have maintained year-on-year export growth of more than 100 percent for consecutive years, accounting for 29 percent of the global commercial cleaning robot market.
Pudu Robotics is just one example of Chinese intelligent robot companies expanding into overseas markets. According to customs data from Shenzhen, south China’s Guangdong province, exports of various types of robots from Shenzhen reached 6.94 billion yuan ($1.03 billion) in the first half of this year, representing a tenfold increase year-on-year. These products were shipped to more than 110 countries and regions.
Strong technological capabilities are at the core of the global competitiveness of Chinese manufacturing.
“Our quadruped robots have officially started operations at a nuclear power plant in Switzerland, carrying out frequent and routine autonomous inspections in high-risk areas,” said Yao Hengyan, assistant general manager of DEEP Robotics in Hangzhou, east China’s Zhejiang province.
The robot can climb slopes as steep as 45 degrees, navigate narrow spaces between equipment and access areas that are difficult for humans to reach. Equipped with thermal imaging and acoustic sensors, it can accurately detect potential hazards such as leaks, abnormal temperatures, and unusual equipment noises.
Inspection data is uploaded in real time to a digital management platform, which can automatically issue alerts and initiate responses once anomalies are detected.
Besides, the quadruped robots of the company are also used for factory security and underground pipeline inspection in Switzerland.
A diverse product portfolio has enabled Chinese robots to adapt to a broad range of global application scenarios.
Pudu Robotics has divided the market into 16 major industries and more than 800 categories of specific applications and tasks based on customer needs, said Zhang Tao, founder and CEO of the company. The company has continuously optimized the overall performance of its products to ensure they are “functional, user-friendly, and durable” in complex environments.
It has established four major product lines covering delivery, cleaning, industrial, and general-purpose embodied intelligence robots, with applications spanning multiple sectors, including manufacturing and warehousing logistics.
The successful deployment of DEEP Robotics’ quadruped robots at a Swiss nuclear power plant, where safety standards are extremely demanding, demonstrates the stability and reliability of China-made robots, Yao said.
The company has reached an agreement with its Swiss client to expand cooperation, and its robots, which can adapt to complex terrain and extreme weather conditions, have already been deployed in energy, industrial, and emergency response scenarios in various parts of the world.
As they continue to explore overseas markets, many Chinese robotics companies are shifting from simply exporting products to building localized brands and service networks.
Competition in China’s service robot sector has moved beyond price-performance advantages and entered a new stage where quality, brand recognition, and service capabilities are equally important, Zhang said. Customers are looking for not just a machine, but a comprehensive solution that can operate reliably over the long term.
To meet these needs, Pudu Robotics has established local offices and service centers in major global markets and built a cooperation network involving more than 1,000 distributors. The network provides partners with full-process support, including pre-sales consultation, sales assistance, deployment, after-sales maintenance, and rapid spare parts response, helping customers overcome concerns about adopting complex technologies.
The current penetration of robots remains relatively low, leaving broad room for future growth, Zhang said. As robots become increasingly integrated into various industries, different application scenarios will require different types of robots and capabilities. The company hopes to develop a unified “intelligent brain” for robots that can empower various products in fields such as delivery, cleaning, and industrial applications.
Pudu Robotics will continue expanding investment in technological innovation and product upgrades, making robots increasingly intelligent and capable of serving more industries worldwide, Zhang added.
China
Wuxi’s “Token Supermarket”: A one-stop AI model platform for local businesses
By Yao Xueqing, People’s Daily
When Li Tao, the software department supervisor at Sevice — a security technology company based in Jiangsu — opened Wuxi’s AI industry service platform, he navigated straight to the “Token Supermarket” on the homepage. He logged into his account to check usage metrics and his remaining balance.
Li’s company specializes in intelligent security, with software development as its core business. “Since last year, AI has handled 85 percent of our software development workflows,” Li said. The company needs to purchase tokens from various large language model platforms, with fees calculated based on usage.
Initially, the company’s demand for tokens was limited, and the cost was almost negligible. But as computing needs grew rapidly, monthly expenses increased. Different large models have different capabilities and applications, Li said. Companies not only have to cope with rising costs, but also manage and maintain multiple accounts and switch between different models, he added.
In May this year, Wuxi rolled out this city-level “Token Supermarket.” Li Tao visited the platform the very day it went live. Lined up on its virtual “shelves” were over 20 mainstream large models, covering nearly all those widely adopted by enterprises.
Thanks to the platform’s centralized procurement, most offerings are available at favorable rates. Even more convenient, users need only a single registered account to call upon different large models on demand.
The company immediately decided to register with the “Token Supermarket” and top up its account. Li did the math: with a monthly recharge of 20,000 yuan ($2,963), more than 30 engineers can use 4 billion to 5 billion tokens. The complimentary concurrent-access benefit package has also enabled more than 30 employees to work efficiently in parallel.
As a result, the company has cut research and development costs by nearly 30 percent, shortened software development cycles from two weeks to less than one week, and increased efficiency by 50 percent.
Why did Wuxi launch such a “Token Supermarket,” and what makes it unique?
According to Zhu Yiqing, deputy general manager of Wuxi Digital New Infrastructure Co., Ltd., which operates the platform, token usage is growing rapidly, but companies still face challenges such as high costs, complicated management of multiple AI model accounts and difficulties in calculating expenses.The “Token Supermarket” was developed to provide a one-stop purchasing platform and has already served more than 50 enterprises.
Its customers include not only companies like Li’s that purchase tokens to assist with daily office work, but also many enterprises that buy tokens as “bulk raw materials” for further processing and development.
Dramasmaker, a startup developing AI-powered animated storytelling production tools, is one such customer. The company was founded in August last year and spent more than six months independently developing a one-stop animation production system, which entered the testing and production phase in May of this year, said general manager Wei Jianfei.
The company needs to purchase large amounts of tokens, resulting in high costs. During the early startup stage, this placed considerable pressure on its cash flow, Wei said.
Zhu noted that the “Token Supermarket” can also be connected with financial services, with financial products to be integrated into the platform’s payment system.
Notably, staff members of the “Token Supermarket” are currently sprucing up its virtual premises: alongside an existing “brand zone,” a new “local-source offerings zone” has been rolled out.
According to Zhu, Wuxi’s computing-power industry is developing rapidly, with 19 intelligent computing centers now up and running, most of which deliver computing power for immediate sale.
Tokens generated by these intelligent computing centers are listed on the “Token Supermarket,” bringing cost-competitive options for users. The platform also bolsters the local computing-power sector while serving small and medium-sized enterprises.
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