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AI Lite

AI Lite adopts the minimalist design concept, fully integrates the local edge computing power, deeply integrates the air conditioning control strategy, has strong safety and reliability, and truly brings a light use experience of one click delivery and quick effect. In order to ensure the adaptability and high availability of the system, AI Lite takes a single micro module as the minimum control unit and adopts the algorithm scheme of reinforcement learning + regression prediction

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Best Suited For:
  • Banking, Financial and Insurance
  • Data Center/Colocation/Hosting
  • Education
  • Government
  • Manufacturing
  • Telecom
  • Transportation
Warranty: Maintenance: Vertiv has a very perfect service system in China to ensure that the service responses of all users are handled in time. Whether local service engineers provide on-site service or remote technical support, Weidi technology is always ready to serve you.

With the rapid development of AI technology, the intelligent energy-saving application scheme of AI + computer room group control has gradually become popular. As the proponent of deep reinforcement learning, Google has successfully applied its algorithm to the energy saving of chilled water system. However, due to the large dependence on historical data, high computational power requirements and long commissioning cycle, it has always been difficult to land. Aiming at this technical bottleneck, Weidi technology innovation has developed a lightweight and group control scheme AI Lite based on air cooling system. In order to ensure the adaptability and high availability of the system, the scheme takes a single micro module as the minimum control unit and adopts the algorithm scheme of reinforcement learning + regression prediction, which reduces the dependence on historical data and computing power, speeds up the convergence speed, and can automatically adapt to various modular computer room scenarios. The scheme is built in the micro module control unit of Vertiv, which can be built together with the module and deployed with one click.

Benefits

Integrated hardware integration           
Sa3.0 hardware management platform integrated AI computing power           
Adapt to frequently changing environment           
Keep pue optimal in a rapidly changing environment          
Adjust the safety margin of the algorithm on demand          
Optimize pue while avoiding local hot spots           
Adjustment without repeated manual intervention           
Fully automatic adjustment, eliminating manual parameter adjustment

Features

The algorithm is efficient           
Reinforcement learning + regression prediction, high algorithm efficiency           
Convergence rate block           
The optimal convergence can be achieved by an average of about one week           
Stable and adjustable temperature           
Seeking optimal energy saving on the premise of achieving safe temperature           
Environmental parameter adaptation           
The algorithm automatically adjusts the response parameters through learning
 

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Vertiv Monitoring Software (Power Assist, Power Insight and MSP Control Center)
+1 800 222 5877, option 2
Ohio USA
Product areas of focus: Software
Vertiv Software Support (Environet Alert and Geist NIC cards)
+1 800 222 5877, option 7
Ohio USA
Product areas of focus: Software

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