Today, businesses and developers are keen to use cloud for deep learning. Especially with the GPU cloud instances, you pay as you go. It is much more cost-efficient comparing to having an expensive metal machine in the office. But let's switch the role now. Say you are the GPU cloud provider, and you provide the GPU environment for hosting other users applications. The problem now becomes, how can you, as this platform provider, lower down the GPU costs to maximize the profit?