Introduction
Deployment of AI-based technology is happening in the Data Center. The processor-intensive servers are driving up energy demands. The table below illustrates the magnitude of the impact. The International Energy Agency (IEA) predicts that data centers will account for up to seven percent of global electricity consumption by 2030; a number equivalent to the entire country of India’s electricity consumption.
| CPU/GPU Technology | Current | Impedance | Watts (Cabinet Avg) |
| Today’s non-AI Server CPU | 400 A | 100 µΩ | 25 kW |
| Early AI GPU’s | 800 A | 50 µΩ | 75 kW |
| Latest AI GPU | 1,400 A | 28 µΩ | 110 kW |
| Next Gen GPU | 2,000 A | 20 µΩ | 500 kW-1MW |
Figure 1: Power Consumption of CPU & GPU technology in Data Center.
With this growing demand for power, the emphasis on energy efficiency is critical. Partnering with Steve Sandler, a highly-recognized power integrity expert; Tektronix has developed good measurement techniques to improve Operations/Watt of next generation AI Data Centers.
Read the full article at Tektronix
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