How can we scale quantum computing in the most energy-efficient way?
Artificial intelligence (AI) is reshaping the digital world at breathtaking speed, powered by vast data centres, ultra-fast networks and ever-denser compute clusters, as each new generation of AI models requires significantly more processing power. Yet the world's digital infrastructure is already approaching physical and energy limits.
Today, a single cutting-edge AI chip can draw as much electricity as an entire household and large training runs can consume as much energy as an entire city. The International Energy Agency, therefore, expects global electricity consumption by data centres to roughly double by 2030.
Today, a single cutting-edge AI chip can draw as much electricity as an entire household and large training runs can consume as much energy as an entire city. The International Energy Agency, therefore, expects global electricity consumption by data centres to roughly double by 2030.
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