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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
Jul 19, 2024 2:16:55 PM
Traditional approaches, such as Trace Mapping FEA, often encounter significant challenges due to uncertainties in material properties and high computational costs. This whitepaper introduces Wiwynn's innovative Hybrid FEA method, which integrates experimental data from three-point bending tests with numerical simulations to more accurately and efficiently determine material properties.
The Hybrid FEA method has proven effective in evaluating risks such as DIMM insertion stress, solder ball cracking, and power pin mounting deformation. Case studies demonstrate that the Hybrid FEA method delivers results comparable to traditional methods while significantly reducing computational demands.
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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...