Huawei Unveils Patents SiC Cooling Tech as AI Chips Push Thermal Limits

As AI chips grow hotter and power-hungry, Huawei’s new SiC-based thermal patents highlight the global race for advanced cooling solutions.

Introduction

The semiconductor industry is entering a new phase where heat dissipation has become as critical as processing power. Huawei recently disclosed two patents focused on silicon carbide (SiC) thermal management technologies, signaling how chipmakers are racing to solve one of the biggest challenges in the AI era: cooling ultra-power-hungry processors.

At the same time, reports suggest that NVIDIA plans to integrate SiC substrates in its next-generation Rubin GPUs to address skyrocketing power consumption. Together, these developments mark a turning point for SiC in the semiconductor ecosystem.

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5 Key Takeaways

Huawei filed two new patents on SiC-based thermal conductive and wave-absorbing compositions.

SiC outperforms silicon with thermal conductivity up to 500 W/mK, more than triple silicon’s 150 W/mK.

AI chip power is explodingNVIDIA GPUs have jumped from 700W to 1,400W, with projections near 2,000W.

NVIDIA may adopt SiC interposers in Rubin GPUs, replacing silicon for better heat management by 2027.

SiC aligns with semiconductor expansion due to its thermal expansion match and ability to handle high-power densities.

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Huawei’s SiC Patents: What They Cover

Huawei’s patents, “Thermal Conductive Composition and Its Preparation Method and Application” and “A Thermal Conductive and Wave-Absorbing Composition and Its Application”, take distinct but complementary approaches to heat management.

  • First Patent – Thermal Conductive Composition
    • Uses a mix of large and small fillers.
    • Large fillers are SiC particles with high sphericity (>0.8).
    • Improves fluidity and thermal conductivity simultaneously.
    • Tailored for high-performance thermal management in advanced electronics.
  • Second Patent – Thermal Conductive + Wave-Absorbing Composition
    • Combines an organic base with SiC fillers and carbonyl iron particles.
    • Provides both heat dissipation and electromagnetic interference (EMI) absorption.
    • Enables next-generation electronics to handle both thermal and signal stability challenges.

This dual-function design reflects the growing demand for multifunctional materials as electronic devices scale in complexity.

Why SiC Matters in Chip Cooling

Silicon carbide has emerged as a leading candidate for advanced cooling due to three critical properties:

  • Superior Thermal Conductivity — up to 500 W/mK, far exceeding silicon (150 W/mK) and ceramics (200–230 W/mK).
  • Thermal Expansion Compatibility — its coefficient closely matches semiconductor materials, reducing stress at high temperatures.
  • High-Power Handling — SiC can efficiently dissipate the heat generated by next-gen processors.

In essence, SiC’s material advantages position it as a replacement for silicon in thermal management applications, especially as GPUs and AI accelerators cross new power thresholds.

The AI Heat Problem

Cooling challenges are intensifying in the AI era. NVIDIA’s GPUs illustrate the problem:

  • Past generation: ~700W power draw.
  • Current models: ~1,400W.
  • Future estimates: ~2,000W.

At these levels, traditional cooling methods like air-based systems and even standard liquid cooling may not suffice. Data centers already struggle with rising cooling costs, and hyperscalers are experimenting with immersion cooling and advanced substrates.

NVIDIA’s Shift Toward SiC

Reports suggest NVIDIA plans to replace silicon with SiC as the interposer substrate for its Rubin processors. Interposers play a critical role in connecting GPU dies and memory, while also managing heat transfer.

By adopting SiC interposers, NVIDIA could:

  • Dramatically improve thermal dissipation.
  • Reduce thermal resistance across components.
  • Enable higher-density chiplet designs without overheating risks.

Industry insiders expect large-scale adoption of SiC substrates around 2027, aligning with NVIDIA’s Rubin GPU launch timeline.

Global Race for SiC Materials

Huawei’s patents come as SiC materials gain global attention. Several factors are accelerating adoption:

  • EV demand: SiC is already used in power electronics for electric vehicles due to its efficiency.
  • AI boom: The rise of GPUs and accelerators is creating parallel demand in data centers.
  • Supply chain scaling: Companies like Wolfspeed, STMicroelectronics, and Rohm are expanding SiC wafer production.

Huawei’s entry into SiC innovation highlights China’s intent to secure domestic materials leadership, especially as U.S. restrictions tighten access to advanced chips and substrates.

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Implications for the Semiconductor Industry

The introduction of Huawei’s patents and NVIDIA’s potential adoption of SiC suggests several shifts:

Material Transition: SiC may gradually replace silicon in thermal interposers and cooling substrates.

New IP Race: Patent filings will intensify as global players stake claims in thermal management IP.

Cooling Becomes Strategic: Advanced cooling solutions are no longer a support function — they are a competitive differentiator.

Data Center Impact: Improved cooling efficiency could lower operational costs in hyperscale data centers.

Geopolitical Angle: Huawei’s SiC patents may give China leverage in semiconductor materials innovation.

Conclusion

The AI era isn’t just about faster chips — it’s about keeping them cool enough to operate. Huawei new SiC thermal and NVIDIA’s reported move toward SiC interposers both underscore the same reality: thermal management is becoming the frontline challenge in semiconductors.

As GPUs push beyond 2,000W and data centers expand at breakneck speed, SiC is emerging as the material of choice to handle the heat. By 2027, the semiconductor industry may witness a materials revolution, with silicon carbide firmly at the center of AI’s future.

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Kumar Priyadarshi
Kumar Priyadarshi

Kumar Joined IISER Pune after qualifying IIT-JEE in 2012. In his 5th year, he travelled to Singapore for his master’s thesis which yielded a Research Paper in ACS Nano. Kumar Joined Global Foundries as a process Engineer in Singapore working at 40 nm Process node. Working as a scientist at IIT Bombay as Senior Scientist, Kumar Led the team which built India’s 1st Memory Chip with Semiconductor Lab (SCL).

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