After AI, energy efficiency probably ranks as one of the next most important topics of discussion in industry. As the number of GPUs and data centers grows at what appears to be exponential rates, these core elements of the engine driving AI infrastructure consume significantly more power.
So, could superconductors, and especially high-temperature superconductors (HTS), be part of the solution to arrest some of the growth in energy needs?
According to Ambature, a manufacturer of a-axis superconducting technology, superconductors have physics-based advantages over semiconductors for some sensing and processing applications, enabling high-speed interconnects with extremely low heat dissipation, faster or more energy-efficient logic circuits for high-performance computing (, efficient RF systems for telecommunications, and quantum magnetometers for evaluative and diagnostic imaging, as well as navigation in GPS-denied environments.
The company stated that computers made with superconductors will be at least 1,000× more energy-efficient than today’s computers.
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