AI data centers indeed require large-scale CAN GAS on-site nitrogen generators and other auxiliary systems to ensure safe and stable operations, particularly in terms of fire protection, environmental control, and hardware protection. Data centers face high-density computing devices, massive power consumption, and elevated temperatures, so proper environmental management is crucial.

1. Fire Protection:

Nitrogen Fire Suppression: CAN GAS On-site nitrogen generators are used to produce high concentrations of nitrogen gas within the data center. Nitrogen is an inert gas, and when its concentration reaches a certain level, it effectively suppresses the occurrence and spread of fires. Fires are more likely to spread in environments with high temperatures and sufficient oxygen, but nitrogen reduces the oxygen levels, thus slowing or halting the fire.

Non-toxic: The advantage of nitrogen is that it is non-toxic and safe. It does not pose a hazard to human health or disrupt the functioning of equipment. Compared to other gases, nitrogen is highly beneficial for the safety of data centers.

2. Environmental Control:

Stable Temperature and Humidity: AI data centers house computing devices such as GPUs, TPUs, and other hardware that generate significant heat. Maintaining strict environmental controls is essential to prevent overheating. On-site nitrogen generators help regulate temperature and humidity, while also preventing oxidation and other issues that could damage the hardware.

Prevention of Oxidation and Corrosion: In environments with high oxygen concentrations, hardware (especially electronic components) is at risk of oxidation and corrosion. By replacing some of the oxygen with nitrogen, this issue is mitigated, resulting in longer equipment lifespan and improved stability.

3. Reducing the Impact of External Environments on Data Centers:

Energy-Intensive Operations: Data centers require vast amounts of energy and continuous cooling systems. Thus, a clean and stable internal environment is essential. In certain regions, external air pollution and humidity can negatively affect equipment. Nitrogen generators enhance the quality of the internal environment by ensuring that the data center remains unaffected by external environmental fluctuations.

Why Are These Measures Particularly Necessary for AI Data Centers?

High Computational Demands of AI Hardware: As AI models become more complex, particularly with the training of large-scale deep learning models, the hardware in data centers (such as GPU and TPU clusters) experiences significantly higher computational pressures. To maintain stable operations, not only power and cooling systems but also fire protection and environmental control become critical.

Stringent Temperature Control Requirements for AI Hardware: These high-performance hardware components require extremely tight temperature control environments to prevent overheating, which can lead to performance degradation or hardware failure. Nitrogen generators help create a more stable operational environment, reducing the risk of damage from fluctuations in oxygen levels and temperature/humidity.

Conclusion

AI data centers require not only vast computational resources and power support but also strict environmental controls to ensure the proper functioning of equipment, prevent fires, and avoid hardware damage. The use of CAN GAS on-site nitrogen generators provides an effective fire protection and environmental control solution, which is particularly critical in high-density computing situations. This is essential for the sustainable development and operation of AI technologies.