Empowering Cloud AI: Custom Liquid Cooling for Alibaba Cloud Servers

1. Background & The Challenge

As global enterprises rapidly migrate their artificial intelligence and machine learning workloads to the cloud, data center infrastructure is facing unprecedented thermal stress. Cloud service providers require massive, high-density server deployments to meet this demand. For tech giants like Alibaba Cloud, managing the extreme heat generated by densely packed AI GPU computing cards is critical. Traditional air cooling cannot efficiently remove the heat from these high-performance components without consuming massive amounts of energy and occupying valuable rack space, creating a need for a more direct and efficient thermal management system.

2. The Solution & Products Used To solve the thermal bottleneck in cloud-based AI infrastructure, Winshare developed a highly customized liquid cooling architecture tailored for Alibaba Cloud's specific hardware ecosystem. Winshare engineered a comprehensive AI GPU Computing Card & AI Server Water Cooling Kit.

The core of this solution includes:

• Alibaba Cloud AI Server GPU Water Cooling Plate: Precision-designed cold plates that make direct contact with the primary heat sources.

• GPU Computing Card Water Cooling Unit: A complete module integrating the cold plates, reliable fluid routing, and secure connectors designed for seamless integration into server chassis.

3. The Results & Impact

By implementing Winshare's specialized water cooling units, the thermal resistance within the AI server nodes was drastically reduced. The direct-to-chip liquid cooling design allows Alibaba Cloud's high-speed computing cards to operate continuously at peak performance without thermal throttling. This solution not only guarantees the reliability of complex cloud computing tasks but also contributes to better energy efficiency (PUE) for the data center by minimizing the reliance on traditional, power-hungry server fans.