In-Server Advanced Cooling Architecture for AI Data Centers

The Need

The rapid growth of AI training and high-performance computing workloads is driving chip power densities beyond the capabilities of many conventional cooling approaches. Data center operators face a difficult tradeoff between supporting next-generation high-power processors and controlling the substantial energy costs associated with cooling infrastructure. Existing liquid-cooling systems often rely on low-temperature facility water and energy-intensive chillers, limiting scalability and negatively impacting power usage effectiveness (PUE). A more efficient thermal management solution is needed to simultaneously support higher computing performance and reduce cooling-related energy consumption.

The Technology

OSU engineers have developed an advanced in-server cooling architecture that introduces a high-performance thermal transport medium within the server environment to improve heat removal from next-generation computing hardware. The system is designed to reduce thermal bottlenecks in conventional liquid-cooling loops while integrating with existing data center cooling infrastructure. By improving heat transfer efficiency between computing devices and facility-level cooling systems, the technology enables either substantially greater cooling capacity for future high-power processors or operation at higher facility water temperatures, reducing dependence on energy-intensive cooling equipment.

Benefits/Advantages

  • Supports future high-power processors by significantly increasing cooling capability compared with conventional liquid-cooling architectures
  • Reduces data center energy consumption through greater use of free-cooling strategies and reduced chiller operation
  • Improves operational economics via lower cooling-related operating expenses and improved PUE
  • Compatible with modern liquid-cooled data center environments, enabling adoption without requiring a complete redesign of facility cooling infrastructure

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