- December 19, 2025

Artificial intelligence (AI) chips are pushing the limits of performance, but with higher power comes increased heat. Modern accelerators can draw hundreds of watts per device, creating thermal challenges that traditional cooling systems alone cannot solve. Effective thermal management is now a design priority, and it starts inside the package. 

WHY HEAT IS A PROBLEM 

AI workloads demand dense compute in compact modules. This concentration of power generates localised hotspots that can exceed safe operating limits. When junction temperatures rise, chips throttle to protect themselves, reducing performance and efficiency. In large-scale deployments, even small thermal inefficiencies can translate into significant energy costs and lost compute cycles 

BEYOND COOLING SYSTEMS 

External cooling – whether liquid loops or advanced heat sinks – is only part of the solution. The materials inside the package, such as thermal interface materials (TIMs) and underfills, often become the bottleneck for heat flow. If these layers cannot conduct heat effectively, the best cooling hardware will still struggle to keep temperatures under control. 

THE ROLE OF HIGH PURITY ALUMINA 

High purity alumina (HPA) is emerging as a practical filler for TIMs and underfills. Compared with silica, alumina offers two to three times the effective thermal conductivity in composite systems while maintaining electrical insulation and mechanical stability. Our Smart SX™ process delivers consistent purity and morphology, ensuring reliable performance in demanding environments. This improvement can reduce junction temperatures by several degrees, unlocking better sustained performance and lower cooling loads. 

As AI chips scale toward kilowatt-class power, thermal packaging will become as critical as architecture. Materials innovation offers a cost-effective way to improve heat flow without redesigning entire systems, making HPA a key enabler for next-generation computing. 

Want to learn more about how high purity alumina can improve thermal management in your AI hardware? Contact us for specification sheets, test samples, or to discuss your application needs. 

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