Schneider Electric is warning the demands of power and cooling for AI are beyond what standard data center designs can handle and says new designs are necessary.
That may be expected from a company like Schneider, which makes power and cooling systems used in data centers. But it doesn’t mean Schneider isn’t correct. AI is a different kind of workload than standard server-side applications, such as databases, and the old ways just don’t cut it anymore.
Schneider’s white paper notes that AI needs ample supply of three things: power, cooling, and bandwidth. GPUs are the most popular AI processors and the most power intensive.
