Microfludic AI Chip Module Cooling

Microfluidic cooling technology for chip modules is a key thermal management solution enabling next-generation AI servers to overcome performance bottlenecks. With the rapid advancement of generative AI and large language models (LLMs), the power consumption and heat density of high-performance computing (HPC) processors continue to rise. The power dissipation of a single chip module is expected to exceed 4,000 W, pushing conventional air cooling and indirect liquid cooling close to their physical thermal limits.

The core innovation of this technology lies in microfluidic direct-to-chip cooling. Leveraging advanced semiconductor fabrication processes, micron-scale microchannels are etched into the backside of the silicon wafer or integrated within the chip package, allowing coolant to flow directly to the heat-generating regions for precise hotspot cooling. Compared with conventional indirect cooling solutions that rely on external heat sinks, this approach significantly reduces interfacial thermal resistance while substantially enhancing heat transfer efficiency and convective heat removal.

By minimizing the thermal transport path, the system rapidly dissipates localized hotspots and maintains excellent temperature uniformity under high computational workloads. As a result, it successfully surpasses the 4,000 W cooling barrier, providing a stable, highly efficient, and reliable thermal management solution for the high-density, high-performance AI servers of the next generation.