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Two poles network open rack: Why has it become the new standard for modern data centers?

1. What is a two poles network open rack?

 

With the development of information technology, data centers have become an indispensable infrastructure for enterprises, organizations and government agencies. In order to meet the growing computing, storage and network needs, data center architecture is also constantly innovating and optimizing. As a new type of data center architecture, the two poles network open rack has gradually attracted the attention of the industry with its high efficiency, flexibility and scalability.

 

Basic structural features——

 

  • Double column design: two vertical support columns are used to form the main frame

 

  • Open architecture: closed side panels and door panels without traditional cabinets

 

  • Modular components: flexibly configurable shelves, cable managers and accessory systems

 

2. How does the open architecture solve the heat dissipation problem of the data center?

 

The advantage of the two poles network open rack design lies in its good heat dissipation performance. Traditional closed cabinets often face the problem of hot air stagnation, while the open structure significantly reduces the resistance of hot air. Data shows that after using this rack, the temperature difference between equipment is reduced from 15℃ to 5℃, effectively eliminating the heat dissipation problem.

 

3. Why can the machine operation and maintenance efficiency be improved?

 

The reason why the double-pole network open rack is becoming more and more popular is its maintainability design. The completely open structure allows technicians to access the equipment from 360 degrees, and the average repair time is reduced to one-third of the traditional solution. The equipment installation speed is increased by 50%, and there is no need to worry about removing the side panels. The clear cable management channel and visual wiring design have reduced the human error rate by 60%, improving the operational efficiency of the data center.