AI Computing Thermal Management Solutions
Creating a Stable and Reliable Thermal Environment for High-Power AI Computing
AI cluster computing is pushing chip power consumption toward the kilowatt range. From GPUs, CPUs, and HBM to liquid cooling systems, LiPOLY provides highly thermally conductive, ultra-thin, and reliable thermal materials that help AI computing equipment rapidly reduce hot spots, improve cooling efficiency, and ensure stable long-term operation.
Thermal Challenges Facing AI Computing
In the Era of High Heat Density, Thermal Management Is Critical to AI Performance
As AI GPUs, liquid-cooled servers, and high-performance computing platforms advance rapidly, chip power consumption and heat density continue to rise. Thermal materials must not only improve cooling efficiency but also support ultra-thin designs, long-term reliability, and manufacturing yield to meet the demands of next-generation AI infrastructure.
High Heat Density
As GPU and CPU power consumption increases, hot spots become increasingly concentrated.
Ultra-Thin Design
Space is limited in high-density modules, requiring thermal materials to balance thickness and performance.
Stable Long-Term Operation
Continuous high-load computing requires materials to maintain long-term reliability.
Trend Toward Liquid Cooling
Cold plates and liquid cooling architectures require more efficient thermal interfaces.
AI 高速光模組 散熱
從矽光子到 CPO，兼顧散熱效率與光學潔淨度
隨著 800G、1.6T 光通訊模組及 CPO 共封裝光學發展，DSP、雷射與矽光子引擎整合更加密集，帶來更高熱密度。LiPOLY 提供高導熱、低應力與非矽型導熱材料，協助熱量傳向模組外殼或冷卻結構，同時降低矽氧烷揮發造成的光學污染風險。
兼顧散熱、訊號與光學潔淨
高密度散熱
將 DSP、雷射與矽光子引擎熱量傳向模組外殼。
穩定光訊號
降低溫度變化對雷射波長與光學傳輸的影響。
降低光學污染
採用非矽型材料，減少矽氧烷於光學表面凝結的風險。
為什麼 AI 光模組優先評估非矽材料？
光模組內部空間密閉且鄰近光纖端面、透鏡及雷射視窗。部分矽型材料受熱後可能釋出低分子矽氧烷，
並凝結於較冷的光學表面，造成透光率下降、插入損耗增加及訊號品質劣化。
受熱揮發
內部遷移
光學表面凝結
訊號品質下降
LiPOLY 非矽型導熱材料不含矽氧烷樹脂骨架，可同時滿足高效導熱、間隙貼合與光學潔淨需求
適用範圍
AI 光收發模組
矽光子光引擎
CPO 共同封裝光學模組
高速交換器
AI Computing Applications
Thermal Materials Are Widely Used in Various Types of AI Computing Equipment
AI GPU Modules
- GPU
- HBM
- VRM
- AI Accelerator
AI Servers
- CPU
- Memory
- Power Module
- SSD
Liquid Cooling Systems
- Cold Plate
- CDU
- Pump
- Manifold
High-Speed Networking Equipment
- Switch ASIC
- Smart NIC
- DPU
- Network Module
Why Choose LiPOLY?
Thermal Material Capabilities Built for AI Computing
With extensive expertise in thermal material technology, LiPOLY provides comprehensive material solutions for the high heat density, ultra-thin design, and liquid cooling requirements of AI applications.
Combining high thermal conductivity, excellent reliability, and rapid customization, our solutions help customers shorten development cycles and strengthen product competitiveness.
0.15 mm Ultra-Thin Material Technology
Available in thicknesses as low as 0.15 mm, making it suitable for high-density electronic modules and space-constrained designs.
High Thermal Conductivity Materials
Offering materials with thermal conductivity of 8 W/m·K or above, reaching up to 24.0 W/m·K, to rapidly reduce chip thermal resistance.
Rapid Custom Development
Thickness, dimensions, hardness, and material formulations can be customized, with samples available in as little as three days.
In-House R&D and Manufacturing in Taiwan
In-house material development and production ensure a stable supply and comprehensive technical support.
Thermal Materials for AI Computing Equipment
Related Product Solutions
Ultra-Thin Thermal Materials
Suitable for AI Chips, HBM, and Slim Modules
Thickness: 0.1–0.3 mm
Suitable for confined installation spaces
Extremely low thermal resistance
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Ultra-High Thermal Conductivity Materials
Suitable for High-Power GPUs and AI Accelerators
High thermal conductivity of 8.0–24.0 W/m·K
Efficiently dissipates heat flux from high-power chips
Maintains excellent thermal performance
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Fiberglass-Reinforced Thermal Materials
Suitable for Puncture Resistance, Wear Resistance, and High Tensile Strength Applications
Excellent handling and installation stability
Improves material strength and wear resistance
Reduces the risk of damage during processing
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Thermal Adhesive
Suitable for components with significant tolerance variations and complex geometries.
Extremely low interfacial thermal resistance
Accommodates component height variations
Provides stable thermal performance
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AI Thermal Insights
Discuss Your AI Thermal Management Needs with Us
Whether you are developing AI GPUs, AI servers, liquid cooling systems, or high-performance computing equipment, the LiPOLY team can help identify the most suitable thermal material solution and provide technical support from material selection through custom development.