The future of artificial intelligence data centers
The rapid adoption of generative artificial intelligence, AI-enabled applications, and high-performance computing (HPC) workloads has accelerated the demand for advanced computing that requires high-power GPUs and AI accelerators. 
The typical heat dissipation design power (TDP) of server processors is expanding from 250 watts to 350 watts, with a roadmap of over 500 watts, while Gpus is expanding from the current 800 watts to 1200 watts or even higher. A liquid-cooled server cabinet has become a necessity, prompting cloud service providers to redesign their data centers with the necessary IT infrastructure and cooling to support the higher heat dissipation and power requirements.
The performance of the scale with liquid cooling
As artificial intelligence applications and other high-performance workloads push the limits of traditional cooling methods, the demand for advanced solutions has become crucial. Flex has developed customizable server and rack designs based on open standards, integrating JetCool's SmartPlate direct-to-chip liquid-cooled server cabinet product.
JetCool's patented micro-convection cooling technology extends the value of single-phase, direct-to-chip liquid cooling deployments to over 15 million watts per slot, sufficient to accommodate the most advanced AI servers.
The Flex liquid-cooled server cabinet system and rack solutions offer hyperscale and data center customers a multi-functional platform for designing customized AI chip architectures and server configurations to meet their unique performance requirements.
Evaluate the efficiency of liquid cooling.
When evaluating the efficiency of a liquid-cooled server cabinet system, it is crucial to consider indicators such as heat dissipation capacity, energy consumption, and sustainability. These measures are crucial for measuring the system's ability to handle the heat load of the data center and its impact on the total energy consumption.
Indicators for evaluating efficiency:
The efficiency of the liquid-cooled server cabinet system is accurately evaluated by using indicators such as the coefficient of performance (CoP), energy reuse efficiency (ERE), and power usage efficiency (PUE).
Heat dissipation capacity
Heat dissipation measures the ability of a system to transfer heat away from its components. This important indicator is usually expressed in watts and depends on the system design, including factors such as the flow rate of the coolant and the thermal conductivity of the materials used.
Energy consumption
When evaluating the efficiency of a liquid-cooled server cabinet system, energy consumption is an important consideration. It includes the energy required to operate the pump and CDU, the savings that may result from reducing air conditioning demand, and the ability to reuse waste heat.
Sustainability
A variety of factors, such as energy efficiency, carbon emissions, waste usage, waste management, local ecosystem impact, and Scope 3 emissions, enable data centers to achieve truly sustainable development.