In today's era of rapid technological advancement, AI chips—the core “brains” of artificial intelligence—are driving transformative change across industries at an astonishing pace. However, as the computational power of AI chips continues to surge, the heat they generate has become a pressing challenge requiring urgent solutions. This is where graphene thermal pads, with their exceptional performance, emerge as a powerful ally in AI chip thermal management.
1. The “Heat Crisis” of AI Chips
During operation, AI chips process massive amounts of data, causing internal components like transistors to run at high speeds continuously and generate significant heat. Research indicates that for every 10°C increase in chip temperature, reliability may decrease by approximately 50%. Therefore, efficient heat dissipation is crucial for maintaining the stable and high-performance operation of AI chips.
2. Exceptional Thermal Conductivity
Graphene possesses an ultra-high thermal conductivity coefficient. Theoretically, a single layer of graphene can achieve a thermal conductivity of 5300 W/m·K, far surpassing traditional thermal interface materials. Utilizing advanced orientation techniques, graphene pads exhibit outstanding thermal conductivity in the vertical direction. They rapidly dissipate heat generated by AI chips, significantly reducing thermal resistance between the chip and heat sink, thereby optimizing heat transfer pathways. Currently mass-produced graphene thermal pads achieve up to 130 W/m·K thermal conductivity with thermal resistance as low as 0.05 °C·cm²/W. This effectively lowers chip temperatures and resolves thermal warping issues.
3. Application Demonstrates Capability
A certain AI chip primarily targets low-power applications such as edge computing products and mobile devices, seeing widespread use in autonomous driving and edge computing scenarios. This chip delivers robust real-time inference capabilities, enabling rapid analysis and processing of captured images, videos, and other data to perform AI functions like object recognition and behavioral analysis.
