Energy Efficiency Optimization Solution iCooling@AI

iCooling@AI is a system-level AI energy efficiency optimization solution for large DCs. It uses an intelligent control system to replace traditional manual adjustment and uses massive data analysis and AI algorithms to reduce PUE, continuous self-optimization, real-time updating of cooling policies, and system-level optimization, the DC PUE can be effectively reduced by 8% to 15%.

Home Data Center Facility & Critical Power Smart DC Management System Energy Efficiency Optimization Solution iCooling@AI

Simple

Optimizes system energy efficiency using AI algorithms, needing only a few sensors.

Green

Reduces PUE by 8% to 15% and cuts data center carbon emissions.

Security

Integrates AI inference into O&M specifications to meet SLA requirements.

Success Stories

Decarbonizing Data Centers: Huawei Enables China Unicom Guangzhou to Build Energy-Efficient and Eco-friendly Data Centers

It is estimated that this solution will save 13.245 million kWh of electricity and reduce carbon emissions by 7695 tons annually

SSE Jin Qiao Data Center: Using iCooling@AI to Explore Green Finance

The Jin Qiao Data Center of Shanghai Stock Exchange is Huawei's first attempt to integrate iCooling@AI into a hyper-scale data center in the financial sector

Pursuing green data center in harmony with the nature at Chengdu

The modules can be quickly stacked onsite, cutting the construction period in half and reducing construction waste by 80%

iCooling@AI: A Cooling Solution Against Global Warming

Huawei iCooling@AI energy efficiency optimization technology reduces the PUE by about 8% to 15%, helping build more energy-saving data centers

Download Center

iCooling@AI Optimization Solution Datasheet（20230919）.pdf

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