Application

High-Power Server Liquid-Cooled PI Heat Substrates

Author: JXR TECHNOLOGY (HK) CO., LIMITED

Summary

High-Power Server Liquid-Cooled PI Heat SubstratesHigh-Power Server Liquid-Cooled PI Heat SubstratesMechanical & Thermal Advantages Over Traditional Copper SubstratesPI-based liquid-cooled heat substrates outperform copper substrates in high-power…

High-Power Server Liquid-Cooled PI Heat Substrates

High-Power Server Liquid-Cooled PI Heat Substrates

Mechanical & Thermal Advantages Over Traditional Copper Substrates

PI-based liquid-cooled heat substrates outperform copper substrates in high-power AI servers by offering 40% lower weight (1.2 kg vs. 2.0 kg for copper) and 25% higher thermal fatigue resistance (withstanding 120,000 temperature cycles), critical for dissipating 500W+ heat loads from AI accelerators (Cloud Computing Industry Association, 2025). Thermally, PI's ceramic-infused nanocomposite boosts thermal conductivity to 0.5 W/m·K, reducing CPU junction temperatures by 18°C under full load. Mechanically, PI substrates withstand 15,000+ pressure cycles from liquid cooling systems without cracking, 2.5x more than copper, which fails after 6,000 cycles.

Material & Fabrication Breakthroughs for Server Thermal Management

Advanced thermal materials research teams have developed a graphene-enhanced PI substrate for liquid cooling, published in IEEE Transactions on Components, Packaging and Manufacturing Technology (2025), improving thermal conductivity by 350% (from 0.12 W/m·K to 0.54 W/m·K). This solves hot-spot issues in 800W AI accelerator cards. Separately, server component manufacturers have created a vacuum brazing process for PI substrates, reducing thermal interface resistance by 22% and improving heat transfer efficiency.

Industry Application Cases in AI Servers

In cloud data centers, PI-based liquid-cooled substrates reduce server energy consumption by 28% compared to air-cooled copper systems, lowering PUE (Power Usage Effectiveness) to 1.08 (Uptime Institute, 2025). For large-scale AI model training clusters, PI substrates support 24/7 continuous operation with 99.9% uptime, vs. 99.5% for copper alternatives, reducing training downtime by 40%. In edge AI servers, PI's lightweight design enables 30% smaller server footprints, improving space utilization in edge data centers.

Production & Durability Challenges for Data Center Deployment

Cost remains a primary barrier: as of Q2 2025, PI-based liquid-cooled substrates cost $420 per unit, 2.1x more than copper substrates, due to specialized graphene infusion processes (Yole Group, 2025). Chemical resistance is another issue: PI substrates degrade 10% faster than copper when exposed to coolant additives, requiring a protective coating that adds 15% to production costs. Additionally, leak testing PI-based liquid-cooled modules is 3x more time-consuming than copper, increasing production lead times by 20%.

WeChat
WeChat QR

Scan on WeChat

WhatsApp
WhatsApp QR

Scan on WhatsApp