Thermal Solutions Engineered for AI Computing Hardware

Manage extreme heat from AI processors and high-density computing systems with up to 10.0 W/m·K thermal performance, ensuring stable operation, sustained throughput, and long-term reliability.

Industry Pain Points

  • Extreme Heat Density: AI accelerators and GPUs generate intense heat under continuous workloads.

  • System Throttling Risks: Inadequate thermal transfer limits sustained AI performance.

  • Reliability Under 24/7 Load: Long-term thermal stress accelerates material degradation.

  • AI Accelerators & GPUs

    High-performance AI chips operate at sustained peak power. Efficient thermal interfaces are critical to transfer heat to heat sinks and cold plates, preventing throttling and performance loss.

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  • AI Servers & Compute Nodes

    Dense AI server architectures leave little margin for thermal inefficiency. Reliable thermal materials help maintain stable temperatures across CPUs, GPUs, and interconnect modules.

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  • Ultra-Soft 1.5 W/m·K Thermal Pad – Gap Compensation for AI Modules and Assemblies

    PropertyValue
    Thermal Conductivity1.0-30.0W/m·K
    Hardness35 Shore 00
    Thickness0.5–5 mm
    Operating Temp–40 °C to 150 °C
    FlammabilityUL94 V-0
  • High-Conductivity 3.0 W/m·K Thermal Gel – Uniform Heat Transfer for Dense AI Systems

    PropertyValue
    Thermal Conductivity1.0-16.0 W/m·K
    Hardness30 ± 5 Shore 00
    Thickness0.3 – 2.0 mm
    Operating Temp–40 °C to 150 °C
    FlammabilityUL94 V-0
  • High-Performance 5.0 W/m·K Thermal Paste – Low Thermal Resistance for AI Processors

    PropertyValue
    Thermal Conductivity10.0-20.0W/m·K
    Thickness0.05 – 0.5 mm
    Operating Temp–40 °C to 150 °C
    FlammabilityUL94 V-0

Customer Reviews

More in line with the academic scenarios

David Lin

AI Hardware Systems Engineer

“These polymer thermal pads transformed our EV battery pack cooling—hotspots are gone, and we’ve seen a 20% boost in cycle life.”

Sarah Mitchell

Data Center Thermal Architect

“The thermal gel improved temperature uniformity across dense AI server nodes and simplified assembly.”

Jun Park

Reliability Engineering Manager

“Thermal performance remained stable after 1,500+ thermal cycles in 24/7 AI computing environments.”

Why Choose JiuJu

Extend Battery Cycle Life by up to 25 %: Better heat removal means less stress on cells. Reduce System Weight & Complexity: Thin pads replace bulky cooling assemblies.

Help

AI processors and accelerators operate at very high power density. Effective thermal management ensures stable performance, prevents throttling, and protects long-term hardware reliability.

Common solutions include thermal pads for gap filling, thermal gels for uniform interfaces in dense systems, and thermal pastes for direct contact with AI processors.

High-quality thermal materials reduce thermal resistance, enabling sustained clock speeds and consistent AI inference and training performance.

Yes. Automotive- and server-grade thermal materials are designed to maintain stable performance under continuous high thermal load and repeated thermal cycling.

 
 
 
 
 
 
 

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