A Data Center in a Shoebox: IMEC's Plan to use Superconductors to Shrink Computers

What's more, this projection was made before the sudden explosion of generative AI. The amount of computing resources used to train the largest AI models has been doubling roughly every 6 months for more than the past decade. At this rate, by 2030 training a single artificial-intelligence model would take one hundred times as much computing resources as the combined annual resources of the current top 10 super-computers. Simply put, computing will require colossal amounts of power, soon exceeding what our planet can provide.