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White Paper: AI Rack Management with Wiwynn UMS
This paper discusses the rapid expansion of AI workloads and the resulting transformation in data center infrastructure requirements. Traditional...
Press
Oct 16, 2024 12:00:00 AM
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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1 min read
This paper discusses the rapid expansion of AI workloads and the resulting transformation in data center infrastructure requirements. Traditional...
1 min read
Firmware updates are essential for the BMC system. Each device requires a unique update flow and utilizes different transport protocols, such as I2C...
1 min read
AI clusters using next-generation accelerators (e.g., NVIDIA GB200) push rack power density beyond 130 kW, making air cooling insufficient and...