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White Paper: Advanced Microchannel Material - Diamond Composite Thermal Solutions

White Paper: Advanced Microchannel Material - Diamond Composite Thermal Solutions
White Paper: Advanced Microchannel Material - Diamond Composite Thermal Solutions
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As AI and High-Performance Computing (HPC) push rack power densities beyond 250 kW and localized heat fluxes past the 500 W/cm² threshold, conventional copper and silicon cooling technologies are reaching their thermal limits. This whitepaper introduces a breakthrough in thermal management by integrating Single-Crystal Diamond (SCD) and hybrid microchannel architectures to overcome critical heat-spreading bottlenecks.

Our research explores the application of diamond-enhanced thermal interface materials (TIMs) and Diamond Microchannel Heat Sink (DMHS) designs in direct liquid-cooling systems. Boasting a remarkable thermal conductivity of approximately 2000 W/m∙K—drastically outperforming traditional copper and standard TIMs—diamond composite materials effectively eliminate temperature penalties under extreme heat fluxes. By incorporating diamond directly into the thermal stack, these advanced architectures achieve substantially lower thermal resistance while maintaining the exceptional mechanical strength required for semiconductor stability.

See how superior material conductivity combined with optimized flow channels significantly enhances cooling efficiency for next-generation AI workloads. By bridging the gap between high-performance TIMs and system-level thermal demands, this study provides the design principles and experimental validation needed to future-proof your data center. Download the whitepaper to explore our DMHS architectures and implement ultra-efficient thermal solutions for your extreme-density computing ecosystem.

White Paper: Advanced Microchannel Material - Diamond Composite Thermal Solutions

1 min read

White Paper: Advanced Microchannel Material - Diamond Composite Thermal Solutions

As AI and High-Performance Computing (HPC) push rack power densities beyond 250 kW and localized heat fluxes past the 500 W/cm² threshold,...

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White Paper: GPU-Initiated, Liquid-Cooled, Ultra-High-Density Storage for Next-Gen AI

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White Paper: GPU-Initiated, Liquid-Cooled, Ultra-High-Density Storage for Next-Gen AI

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White Paper: KV Cache Offload to Improve AI Inferencing Cost and Performance

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White Paper: KV Cache Offload to Improve AI Inferencing Cost and Performance

This paper explores a disaggregated key-value (KV) storage architecture designed to efficiently offload KV cache tensors for generative AI workloads.

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