When AI servers engage in deep learning and data analysis, they generate significant amounts of heat. Liquid cooling systems can swiftly and effectively dissipate this heat, ensuring stable server operation.
Immersion cooling involves submerging servers directly into non-conductive cooling liquids, typically using fluorinated liquids as the coolant. This method directly absorbs and rapidly removes the heat generated by the chips, significantly enhancing server performance.
In liquid-cooled server cabinets, sealless magnetic drive pumps are responsible for the continuous circulation of the cooling liquid, maintaining system stability. As the core equipment of the cooling process, these pumps not only efficiently manage the heat from high-intensity computations but also provide reliable hardware support for the further development of AI technology.
