Advantages of Sanyo San Ace 200 Series Low-Power Fans in the AI Server Market
Categories:
Industry news
Technology
Author:
rain
Origin:
capital
Time of issue:
2025-09-03 16:20:32.000
Views:
I. What Trends Are Currently Emerging in the AI Server Market?
In 2025, the AI server market will exhibit a series of developmental trends in terms of scale, technology, and demand structure, as detailed below:
1、Market Scale Growth: Demand for the AI server market remains robust. In China, the market size reached 56 billion yuan with 421,000 units shipped in 2024; it is projected to jump to 63 billion yuan in scale and 486,000 units shipped in 2025. The global market also maintains a growth trajectory—while institutions like Goldman Sachs have revised down some shipment forecasts due to factors such as product iteration, the overall trend remains upward.
2、Popularization of Liquid Cooling Technology: As demand for AI computing power surges, traditional air cooling can no longer meet heat dissipation needs, making liquid cooling technology rapidly become an industry standard. By 2025, the penetration rate of liquid-cooled servers in China will reach 25%-30%, with cold-plate liquid cooling remaining the mainstream, and immersion liquid cooling accelerating its adoption in high-performance computing fields.
3、Growing Preference for Inference Servers: With the deepening of generative AI applications, the advantages of inference servers have become prominent; their proportion is expected to approach 50% in 2025. China Mobile plans to centrally procure approximately 7,058 inference AI servers between 2025 and 2026. As AI applications accelerate their shift from the training phase to the inference phase, inference servers are expected to gradually become the market mainstream.
4、Accelerated Localization Process: Affected by U.S. chip export restrictions, the penetration rate of domestic AI chips (such as Huawei Ascend 910C and Cambricon MLU) in government and enterprise markets has increased rapidly. It is expected that domestic AI server orders will account for over 40% in 2025. The Huawei Ascend ecosystem already covers 85% of the AI server demand in government and telecommunications sectors. Meanwhile, the rise of super-node architecture is driving the localized implementation of trillion-parameter large model training.
II. What Heat Dissipation Pressures Do AI Servers Face?
AI servers face significant heat dissipation pressures primarily due to high chip power consumption, high power density, and limitations of heat dissipation technologies. The specific factors are as follows:
1、Rising Chip Power Consumption: AI computing requires robust computing power support, which has led to a substantial increase in the number of transistors in AI chips. For instance, the power consumption of GPUs will evolve from 700W to over 1000W. High power consumption inevitably generates a large amount of heat, increasing heat dissipation pressure.
2、Concentration of High-Power-Density Chips: A large number of high-power-density chips are concentrated in servers, resulting in a significant increase in heat per unit volume and a marked rise in heat dissipation difficulty.
3、High Proportion of Data Processing Energy Consumption: In AI servers, energy consumption for data processing accounts for over 90% of the total system power consumption.
4、Increased Cabinet Power Density: The power density of cabinets has jumped from the typical 2.4kW to 120kW. Traditional air cooling approaches its physical limit when the cabinet power density reaches 8-10kW and cannot adapt to the ultra-high power density of AI servers, making heat dissipation issues even more prominent.
III. Advantages of Sanyo San Ace 200 Series Low-Power Fans in the AI Server Market
The Sanyo San Ace 200 Series low-power fans offer advantages such as low power consumption, strong cooling performance, environmental friendliness, and long service life in the AI server market. The detailed analysis is as follows:
1、Outstanding Low-Power Performance: Adopting advanced motor control technology, this series of fans reduces power consumption by approximately 36% compared to the previous generation while maintaining the same airflow and static pressure performance. It provides users with a more energy-efficient heat dissipation solution, helping to lower the operating costs of AI servers.
2、Powerful Cooling Performance: The fans feature high rotational speed and large airflow, with a maximum airflow of 30.7 m³/min, enabling them to quickly and effectively dissipate the dense heat inside servers. This meets the heat dissipation needs of high-density server cabinets and GPU clusters. With a maximum static pressure of 1350Pa, their breakthrough pressure output ensures that airflow can penetrate complex heat dissipation structures, adapting to high-resistance heat dissipation systems and ensuring stable operation of equipment under high-load conditions.
3、Eco-Friendly Design: The product uses lead-free brass materials, complies with the RoHS directive, and has been certified as an "Eco Product". Through full-lifecycle environmental design, it reduces the environmental impact of product and packaging materials, aligning with the current development concept of green data centers.
4、Long Service Life: The fan has a designed service life of 40,000 hours (L10 life at 60°C with a 90% survival rate), which can adapt to the harsh 24/7 non-stop operation conditions of AI servers. This reduces the frequency of maintenance and replacement, further lowering the total cost of ownership.
5、PWM Control Support: The fan supports PWM control, which dynamically adjusts the rotational speed based on temperature. This not only provides sufficient heat dissipation capacity when the equipment temperature is high but also reduces the rotational speed when the temperature is low, thereby cutting energy consumption and noise and further optimizing energy efficiency.
IV. Application Scenarios of Sanyo Low-Power Heat Dissipation Fan 9GA2048P0G001 in the AI Server Market
Leveraging its characteristics of high airflow, high static pressure, and low power consumption, the Sanyo low-power heat dissipation fan 9GA2048P0G001 has a wide range of application scenarios in the AI server market, as follows:
1、GPU Server Heat Dissipation: GPUs are the main heat-generating components in AI computing. The Sanyo 9GA2048P0G001 fan has a maximum airflow of 30.7 m³/min and a maximum static pressure of 1350Pa, which can quickly dissipate the heat generated by GPUs. This ensures stable operation of GPU servers during high-load computing and maintains the efficiency of AI model training and inference.
2、High-Density Server Cabinet Heat Dissipation: AI servers in data centers are usually deployed in a high-density manner, leading to concentrated heat inside cabinets. With its strong airflow and pressure, this fan provides stable heat dissipation for high-density server cabinets, ensuring the continuous and efficient operation of a large number of servers and preventing performance degradation or failures caused by overheating.
3、High-Resistance Heat Dissipation Systems: To improve heat dissipation efficiency, some AI servers adopt complex-structured heat dissipation systems, which increase the resistance to airflow. The 9GA2048P0G001 fan has a maximum static pressure of 1350Pa, ensuring that airflow can penetrate these complex heat dissipation structures to effectively dissipate heat, making it suitable for high-resistance heat dissipation systems.
4、Edge AI Server Heat Dissipation: Edge AI servers typically need to operate in relatively complex environments. This fan has an operating temperature range of -20°C to +70°C, enabling it to adapt to various environments. It provides reliable heat dissipation for edge AI servers, ensuring their stable operation in outdoor and other environments.
5、Inference AI Server Heat Dissipation: With the deepening of generative AI applications, demand for inference AI servers has increased. Although the power consumption of such servers is relatively lower than that of training servers, they still require effective heat dissipation. The 9GA2048P0G001 fan supports PWM control, which dynamically adjusts the rotational speed based on temperature. While meeting heat dissipation needs, it further optimizes energy efficiency, making it highly suitable for inference AI servers.
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