Exploring the Intersection of China-Made Graphics Processing Units, AI Applications, and Liquid Cooling Technology

Sunday, 15 September 2024, 17:00

China-made graphics processing units are at the forefront of igniting AI applications, significantly impacting the demand for innovative cooling solutions. This surge in requirements is epitomized by Global Switch's implementation of liquid cooling technology in Hong Kong, specifically designed to accommodate the needs of AI-driven data centers. The emergence of companies like Biren Technology and collaboration with industry giants underscores the growing significance of this technological advancement.
Scmp
Exploring the Intersection of China-Made Graphics Processing Units, AI Applications, and Liquid Cooling Technology

The Rising Demand for AI Applications and China-Made GPUs

China-made graphics processing units (GPUs) have emerged as a critical technology in the rapidly growing field of AI applications. Their demand is heightened due to increased productivity needs, resulting in data centers exploring innovative cooling solutions.

Liquid Cooling Solutions to Enhance Data Center Efficiency

Companies like Global Switch have recently adopted state-of-the-art liquid cooling systems that directly connect to chips, enhancing energy efficiency in data centers. This technology allows data centers to support higher-density racks, which require significant cooling capabilities.

  • Global Switch's facility in Tseung Kwan O is now equipped to handle 100 kilowatts per rack.
  • Collaborations with Supermicro, xFusion, and LiquidStack facilitate the deployment of these advanced cooling technologies.

Impact of Geopolitical Factors on GPU Supply

  1. Many mainland Chinese firms are now transitioning to using their own AI chips due to restrictions on exports of Nvidia products.
  2. The demand for China-made GPUs from companies like Huawei Technologies and Biren Technology signifies a shift in market dynamics.

This trend is a reflection of how geopolitical factors heavily influence the technology landscape, especially concerning the availability of high-performance computing components needed for AI development.


This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.


Related posts


Newsletter

Subscribe to our newsletter for the most reliable and up-to-date tech news. Stay informed and elevate your tech expertise effortlessly.

Subscribe