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Why do GPU chips need embedded liquid cooling?

2026-04-06 01:57:01 · · #1

The thermal challenges of GPU chips

As a core component of artificial intelligence and high-performance computing, the increased computing power of GPU chips comes at the cost of a significant increase in power consumption. For example, NVIDIA's H100 and H200 GPUs consume over 1500W. Such high power consumption generates a large amount of heat during chip operation. If this heat cannot be dissipated effectively and promptly, the chip temperature will rise rapidly. Excessive temperature not only leads to decreased GPU performance, calculation errors, and instability, but also accelerates chip aging and shortens its lifespan.

Traditional air-cooling systems use fans to force airflow and remove heat from the chip surface. However, air has extremely low thermal conductivity, only about 0.024 W/mK, making air-cooling systems inadequate for high-power-density GPU chips. When the power density of a single rack exceeds 20 kW, the cost and difficulty of air-cooling systems increase dramatically, while the cooling efficiency remains difficult to guarantee, failing to meet the stringent heat dissipation requirements of GPU chips.

The principle and advantages of embedded liquid cooling technology

Embedded liquid cooling technology achieves tight coupling between the heat source and the cooling medium by directly integrating microchannel cooling blocks into the chip package. This innovative design concept fundamentally changes traditional heat dissipation methods, significantly reducing thermal resistance and improving heat dissipation efficiency. For example, JetCool's SmartPlate designed for the NVIDIA H100 GPU uses single-phase direct-on-chip liquid cooling technology, boasting a low thermal resistance of 0.021°C/W and supporting heat dissipation power up to 1500W.

Embedded liquid cooling technology integrates the liquid cooling system into the chip or package, rather than attaching the heatsink externally as is traditionally done. Specifically, it integrates a microchannel cooling block onto the CPU package (IHS or directly on the package housing), through which liquid carries away heat via direct current hotspots. This approach minimizes the thermal resistance between the heat source and the cooling medium, enabling faster and more efficient heat transfer from the chip.

Embedded liquid cooling improves GPU performance

Embedded liquid cooling technology effectively reduces the operating temperature of GPU chips, keeping them in a relatively stable low-temperature environment. This is crucial for maintaining the high-performance output of the GPU. When the chip temperature is too high, the GPU automatically reduces its operating frequency to prevent overheating damage, a phenomenon known as "throttling." Throttling leads to a significant drop in GPU computing performance, severely impacting the execution efficiency of artificial intelligence and high-performance computing tasks.

By using embedded liquid cooling technology, GPU chips can always be kept within their optimal operating temperature range, avoiding frequency throttling caused by overheating, thus ensuring that the GPU can continuously and stably output high-performance computing capabilities. This is of great significance for applications with extremely high computing performance requirements, such as large-scale deep learning model training and complex scientific computing.

Advantages of embedded liquid cooling in terms of energy consumption, noise, and space

Reduced energy consumption

In large-scale computing environments such as data centers, the energy consumption of cooling systems accounts for a significant proportion. Traditional air-cooling systems require a large amount of electrical energy to drive the fans to achieve forced convection cooling. Embedded liquid cooling systems, due to their high efficiency, can achieve better cooling performance with lower power consumption. For example, Supermicro's liquid-cooled AI development platform, developed in collaboration with NVIDIA, uses a liquid cooling system to reduce power consumption by up to 40%, significantly improving the efficiency of AI workloads. This not only helps reduce data center operating costs but also aligns with current societal demands for energy conservation, emission reduction, and green computing.

Noise reduction

Traditional air-cooled systems generate significant noise from fans operating at high speeds, a problem that cannot be ignored in environments with high noise control requirements, such as offices and research institutions. Embedded liquid cooling systems, on the other hand, operate without fans or with low-speed fans, producing very little noise and providing a quiet working environment. This significantly improves user experience and meets the needs of specific scenarios.

Space saving

Embedded liquid cooling systems offer a more compact design, occupying less space compared to the bulky heatsinks and complex airflow structures of traditional air-cooled systems. In space-constrained environments such as data centers, embedded liquid cooling technology can utilize space more effectively, improving space utilization. This allows data centers to deploy more computing devices within limited space, enhancing overall computing power.

Current Status and Future Prospects of Embedded Liquid Cooling Technology

Currently, embedded liquid cooling technology has been widely applied in fields such as artificial intelligence and high-performance computing. Industry giants such as NVIDIA have launched GPU products and solutions using liquid cooling technology, leading the industry trend. In the data center sector, an increasing number of newly built data centers are adopting liquid cooling technology to meet the growing heat dissipation demands and improve the operational efficiency and reliability of data centers.

With continuous technological advancements and decreasing costs, embedded liquid cooling technology is expected to be applied and promoted in more fields. In the future, with the continued development of emerging technologies such as artificial intelligence, big data, and the Internet of Things, the performance requirements for GPU chips will further increase, and heat dissipation will become even more critical. As a highly efficient and reliable heat dissipation solution, embedded liquid cooling technology will play an increasingly important role in the future computing field, providing strong support for promoting technological progress and industrial development.

In conclusion, the demand for embedded liquid cooling technology in GPU chips stems from the severe heat dissipation challenges brought about by their ever-increasing computing density and power consumption. Embedded liquid cooling technology, with its advantages of high-efficiency heat dissipation, significant energy reduction, noise reduction, and space saving, has become a key technology for improving GPU chip performance and ensuring its stable operation. In the future, with continuous technological improvements and the deepening of its applications, embedded liquid cooling technology will inject new vitality into the development of GPU chips, helping related industries move towards a higher stage of development.

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