Why build your own cancer-sniffing neural network when this 1.3 exaflop supercomputer can do if for you?

Small poblem - you need 9,216 CPUs and 27,648 GPUs

The world's fastest deep learning supercomputer is being used to develop algorithms that can help researchers automatically design neural networks for cancer research, according to the Oak Ridge National Laboratory."