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White Paper: Advancing Vertical Power Delivery
As modern compute silicon continues to scale in power density—driven by AI training clusters, high-performance computing (HPC) accelerators, and...
Wiwynn
Updated on July 11, 2025
The integration of advanced liquid cooling systems in AI clusters is essential for maintaining thermal stability and optimizing performance. Key components such as AI racks, Cooling Distribution Units (CDUs), the Wiwynn UMS100 (Universal Management System), and AMI DCM (Data Center Manager) work together to ensure efficient cooling management. The Wiwynn UMS100 manages cooling at multiple levels, serving as a bridge between individual servers and the overall cooling system, while the AMI DCM provides a centralized platform for monitoring and managing all servers and devices within the AI cluster. This integrated approach enhances performance, improves energy efficiency, and ensures reliability.
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As modern compute silicon continues to scale in power density—driven by AI training clusters, high-performance computing (HPC) accelerators, and...
1 min read
This study proposes a heat-flux-based non-uniform straight-microchannel cold plate design for non-uniform chip heat loading. A preliminary parametric...
The rapid scaling of AI workloads is pushing traditional copper interconnects beyond their practical limits in bandwidth density, reach, and power...