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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...
With the ever-growing demand for faster and more reliable transmissions, data centers need to be consistently aware of different architectures and applications such as the 5G network architecture, edge computing advancement, etc.
In this whitepaper, we will be providing ideas, design and an actual system created for edge computing, 5G network and AI inference. These aim to solve problems such as drastic environmental conditions, different application areas, inflexible design.
Based on this, we introduce ES200, a system with modularized design that can adapt to different applications and edge computing, and, with those, the accompanying design ideas for data centers.
Leave your contact information to download the whitepaper!
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...