The computing power needed to train AI is now rising seven times faster than ever before

The San Francisco-based for-profit AI research lab has now added new data to its analysis. This shows how the post-2012 doubling compares with the historic doubling time since the beginning of the field. From 1959 to 2012, the amount of power required doubled every two years, following Moore's Law. This means the doubling time today is more than seven times the previous rate.