This thermal revolution is advancing on two fronts: Direct Liquid Cooling (DLC), which functions like a car's radiator system to precisely cool the hottest chips, and the more extreme Immersion Cooling, which involves submerging entire servers in a non-conductive fluid. AI servers generate much more heat than their predecessors, making efective cooling essential to maintain optimal performance, reliability, and longevity of operation. Liquid cooling solutions are now available to deal with these new AI server environments, which will impact the facility cooling. The underlying logic of AI server heat dissipation: How does liquid cooling technology cope with the surging heat dissipation demand? Joining Hands for Development! The soaring computing power of AI servers is encountering "thermal constraints" - the power density of chips exceeds 1000W/cm² (such. Liquid cooling has become a critical enabler for modern AI data centers as facilities scale to handle high-density workloads, such as artificial intelligence (AI) and machine learning. As AI workloads drive higher heat densities, the liquid cooling market is projected to expand rapidly—with. In extreme cases, local overheating can burn out power modules or cause thermal runaway and fire hazards—especially in older systems with poor heat dissipation design. Why AI Servers Are Prone to Overheating Compared to traditional servers, AI servers exhibit these "hot" characteristics: ●. In the heat dissipation technology realm, thermal management is crucial. Walmate thermal blog serves as a platform. Here, we share advanced thermal management solutions, from innovative heat sinks to smart cooling systems, empowering you to stay ahead. It's powering. As AI chips become exponentially smarter, they are also becoming the hottest "space heaters" in history.