Cloud Native 4 min read

Ant Group’s Green Computing Technology Recognized for Energy Efficiency and Carbon Reduction

The National Energy Center’s recent green computing evaluation highlighted Ant Group’s innovative cloud‑native scheduling, AI‑driven prediction, and offline mixed‑branch technologies that significantly improve data‑center energy efficiency, reduce carbon emissions, and demonstrate strong promotion value across major enterprises.

AntTech
AntTech
AntTech
Ant Group’s Green Computing Technology Recognized for Energy Efficiency and Carbon Reduction

The National Energy Center recently organized the 39th Digital Carbon Management Green Innovation Forum and the "Green Computing" advanced energy‑saving carbon‑reduction technology evaluation meeting in Beijing to accelerate low‑carbon development of data centers and improve computing power energy efficiency.

After review, the Center concluded that Ant Group’s green computing technology achieves notable energy‑saving and carbon‑reduction results and possesses high promotion value.

Ant Group’s innovative "green computing" technology comprises an integrated system that enhances computing power utilization efficiency, featuring offline mixed‑branch technology, cloud‑native time‑slice scheduling, end‑to‑end AI algorithm prediction methods, and large‑model time‑series forecasting. These solutions address large‑scale cluster resource allocation, minute‑level effective scheduling, and intelligent traffic prediction, reducing waste while offering safety, reliability, stability, and ease of maintenance.

The technology has been deployed on production server clusters of Alipay, MyBank, and other Ant Group services, and has undergone extensive large‑scale testing during regular operations and the Double‑11 peak, demonstrating strong practical value. An expert panel led by Professor Li Zhen of Tsinghua University affirmed that the technology holds independent intellectual property rights, represents a typical green low‑carbon solution, and merits further testing and verification.

Experts from institutions such as Tsinghua University, China Academy of Information and Communications Technology, China Electric Power Research Institute, China Mobile Design Institute, and many leading enterprises participated in the meeting, discussing current data‑center energy‑saving solutions, application fields, and future directions of green computing technology.

Participants unanimously agreed that rapid growth of computing facilities intensifies energy and water consumption challenges, necessitating accelerated green low‑carbon development. Ant Group’s use of artificial intelligence and algorithm optimization to boost data‑center efficiency offers a new pathway for enterprises and contributes positively to the construction of a digital and beautiful China, with green computing expected to play an increasingly important role in the industry.

AI optimizationdata centerenergy efficiencyGreen computingAnt Groupcloud-native scheduling
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