Why AI and energy are key to global power


Envision Group completes massive, green-energy-powered AI data center in Inner Mongolia
Updated: 2026-08-06 21:32

Envision Turns Wind Power Into AI Power in Northern China
Envision Turns Wind Power Into AI Power in Northern China

Green tech company Envision Group announced the completion of its largest AI data center on Thursday in Ulaanqab, Inner Mongolia autonomous region, setting what they claim to be global benchmarks for computing density and green-power integration in AI infrastructure.

According to a Shanghai Securities News report, the data center draws on green energy to power its building area of 120,000 square meters, approximately the size of 14 standard soccer fields. One million microchips work together to create a one-million-petaflop computing capacity, which is equivalent to roughly 2 million laptops.

At present, domestic AI computing is accelerating toward 100,000-chip and even million-chip interconnectivity. Envision claims its new cluster has a total planned capacity of 2 gigawatts, which, when completed, will give it the world's highest token output capacity.

To power the cluster, the data center leverages the region's abundant wind resources. Through self-built wind farms and dedicated transmission lines, it achieves direct green power supply.

Zheng Zihao, general manager of the group's Artificial Intelligence Data Center, which oversees the new node, said it is primarily designed to address the urgent demand from leading technology and AI companies for large-scale adoption of domestically produced computing power and is committed to delivering a green energy AI computing infrastructure solution for China's computing needs.

"Looking ahead, we will bring replicable Chinese AI data center solutions to regions around the world facing urgent computing demand, weak energy infrastructure, and power shortages," Zheng added.
 
There are 4 types of coal. China is very fortunate to have great amounts of high quality coal while other countries often have coal but is mostly useless outside of cooking and warmth.
 
There are 4 types of coal. China is very fortunate to have great amounts of high quality coal while other countries often have coal but is mostly useless outside of cooking and warmth.
There are 4 large strategic resources in the world: coal, iron ore, oil and rubber. Aside from coal that China has abundant quality supplies, China has abundant iron ore but poor quality, and China is short on oil reserve and rubber supplies.
 
There are 4 large strategic resources in the world: coal, iron ore, oil and rubber. Aside from coal that China has abundant quality supplies, China has abundant iron ore but poor quality, and China is short on oil reserve and rubber supplies.
Yeah what we dont have we have to buy. Luckily we got plenty of rare earth which is a bonus and building more oil pipelines to Russia and central Asia. Central Asia is very happy because prior to Chinese oil pipelines, they had no choice but to transport it thru russian pipelines at lower profits.

Its okay to rely on others for trade because no country has everything themselves in the modern world. Saying that, we should build larger stockpiles of any strategic resources.
 
  • Like
Reactions: ety

Chinese government boosts investment in electricity grid to support AI development

2026-08-12 23:03 Last Updated At:08-13 11:29

The Chinese government has pledged to increase investment and coordination in the nation’s power grid to help alleviate the pressure on the power supply from China’s fast-growing tech and artificial intelligence (AI) sector.

In the Guangdong Shaoguan cluster, one of China's top ten national data center clusters, intelligent computing cabinets are the core hardware supporting the operation of large AI models. A single cabinet can consume up to 240 kWh of electricity per day when operating at full load, roughly equivalent to the total electricity consumption of an average household for a month. In addition to the computing equipment itself, the supporting cooling and humidity control systems also generate considerable power consumption.

"The computing power we built has increased from 5,000 PetaFLOPS last year to 30,000 PetaFLOPS now, and electricity consumption has increased five to six hundred times compared to last year," said Xie Jinbao, deputy director of the development and reform bureau of Shaoguan City.

Data shows that in 2025, computing centers nationwide consumed 18.1 percent more electricity than in 2024, far exceeding the 5.2-percent growth rate for electricity consumption for the rest of the nation’s households and businesses.

To meet the rapidly growing demand for computing power, AI companies will be encouraged to "transfer" computing tasks from areas with tight power supplies to areas with surplus, to ease the burden on the power grid.

Guangzhou City faced a power shortage earlier this year but, after receiving instructions from the Southern Power Grid, organizations moved non-urgent calculation tasks from Guangzhou to the Gui'an Data Center in southwest China’s Guizhou Province.

"At that time, we detected that the load in Guangzhou was too high, so we issued real-time dispatch instructions to the China Mobile Southern Base Data Center to adjust the load," said Zhang Zihao, head of the research and development center of the Computer Engineering Company under China Southern Power Grid Digital Group.

The National Development and Reform Commission announced on July 31 that during the 15th Five-Year Plan period (2026-2030), four trillion yuan (about 593 billion US dollars) will be invested to promote the construction of a national integrated computing power network.

The integrated computing power network can schedule distributed computing power and regional resources across different regions, aggregate the advantages of single-point technologies into the advantages of national industrial clusters, and ultimately expand the growth space for domestic large-scale AI models.

"The 4-trillion-yuan investment in computing power networks is a crucial foundation for the future overseas expansion of our large models. First of all, it will further reduce the computing power costs of providing such services overseas and enhance the reliability of these services. This is fundamental and a basic guarantee for the future in-depth, practical, and sustainable overseas expansion of our large models," said Du Guochen, director of the Institute of E-commerce at the Chinese Academy of International Trade and Economic Cooperation.
 

Users who are viewing this thread

Pakistan Defence Latest

Country Watch Latest

Latest Posts

Back
Top