
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.
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.

| Property | Value |
|---|---|
| Thermal Conductivity | 1.5 – 8.0 W/m·K |
| Dielectric Breakdown Voltage | > 6.0 – 10.0 kV/mm |
| Hardness & Deflection | 0.5–5 mm |
| Shore 00 20 – 50 (High Compressibility) | -50°C to +200°C | UL 94 V-0 |
| Ideal EV Applications | OBC, DC-DC, High-Voltage PDU, Battery Packs |

| Property | Value |
|---|---|
| Thermal Conductivity | 2.0 – 6.5 W/m·K |
| Dispensing Flow Rate | High Thixotropic / >40 g/min |
| Outgassing (Siloxane) | Ultra-low Outgassing / Non-Silicone Available |
| Operating Temp & Reliability | -50°C to +180°C | Anti-Slumping |
| Ideal EV Applications | ADAS Cameras, LiDAR, ECUs, Sensor Modules |

| Property | Value |
|---|---|
| Thermal Conductivity | 3.0 – 6.5 W/m·K |
| Thermal Impedance & BLT | < 0.04 °C·in²/W | Min BLT ~15 µm |
| Dielectric Breakdown Voltage | > 4.0 – 8.0 kV/mm |
| Operating Temp & Reliability | -50°C to +180°C | Anti-Pump-Out (>1,000 hrs) |
| Ideal EV Applications | SiC/IGBT Power Inverters, MCU Chipsets, Fast Chargers |
More in line with the academic scenarios
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.

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.