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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...
1 min read
Press
Jul 31, 2025 9:45:59 AM
This research introduces an innovative immersion cooling testing platform equipped with dedicated fixtures that streamline production and debugging. The system enables efficient fault detection and component replacement, resulting in higher manufacturing yields and expanded production capacity. By optimizing resource utilization, it reduces electricity, water, and coolant consumption—supporting ESG goals while driving down overall manufacturing costs for next-generation AI servers.
With the rapid rise of AI applications, servers must process massive data loads and increasingly powerful chips that generate substantial heat. Traditional air and liquid cooling face mounting challenges in efficiency, cost, and space requirements. Immersion cooling has therefore emerged as a promising solution, yet its testing environments remain limited. This platform addresses that gap by enabling fast signal measurement and early fault identification before formal manufacturing, paving the way for more reliable, sustainable, and cost-effective AI server production.
Download the whitepaper now to see how cutting-edge immersion cooling technologies are redefining the future of scalable, energy-efficient AI data centers.
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...