Everything comes with a price, and artificial intelligence is no exception. The last decade has witnessed AI breakthroughs in object recognition, game playing, machine translation and many other areas. But these massive improvements required massive amounts of compute. For example, 2017 deep learning model AlphaZero consumed 300,000 times more computational power during training than 2012's revolutionary AlexNet. However, with global concerns growing regarding climate change and other environmental threats, recent mainstream media stories have pointed fingers at the massive carbon footprint left by the training of today's resource-hungry machine learning models.