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  • Laser Cooling Chips: An Innovative Method for Precisely Removing Heat from Hot Spots and Recycling Heat into Energy

    tomshardware

    04/11/2025, 10:59 AM UTC

    ➀ 慧荣科技正在开发一种利用激光冷却高性能计算硬件的新技术,由桑迪亚国家实验室支持。

    ➁ 该技术使用由高纯度砷化镓(GaAs)制成的冷板,当它们接触到特定波长的聚焦激光束时会冷却。

    ➂ 该方法旨在补充现有冷却系统,而不是取代它们,提供精确的局部冷却,并将热量回收转化为能量的潜力。

    In the tech industry, heat dissipation remains a significant challenge for modern data centers. A startup named Maxwell Labs, in collaboration with Sandia National Laboratories, is introducing a groundbreaking approach to tackle this issue.

    The company is developing a new technology that aims to cool high-performance computing hardware using lasers. This innovative method leverages cold plates made of ultrapure gallium arsenide (GaAs), which cool down when exposed to focused laser beams of a specific wavelength.

    This process, which stands out from traditional cooling methods, is designed to complement existing cooling systems rather than replace them. It offers precise localized cooling, ensuring that heat is managed exactly where it becomes problematic, rather than attempting to cool an entire system.

    In addition to its cooling capabilities, this technology has the potential to recycle heat into energy. The thermal energy extracted from chips can be emitted as usable photons, which can then be converted back into electrical power, enhancing the overall energy efficiency of computing systems.

    However, this innovative approach is not without its challenges. Producing ultrapure GaAs wafers requires complex, energy-intensive techniques, and integrating GaAs transistors into traditional silicon-based chips is a significant hurdle. Despite these challenges, Maxwell Labs is optimistic about the potential of this technology.

    Currently, the concept is still in the experimental and modeling stage. Maxwell Labs expects to complete a functioning prototype by the fall of 2025. The company has already identified early adopters for its first version, MXL-Gen1, and plans to deliver initial systems over the next two years. A broader access to this technology is projected for the end of 2027, assuming development stays on track.

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