Fig. 2From: Convergence of artificial intelligence and high performance computing on NSF-supported cyberinfrastructureGravitational Wave Astrophysics with the HAL Deep Learning Cluster The training stage of a deep learning model, used to infer how rapidly two colliding black holes rotate, is reduced from 1 month—using a single V100 GPU—to 12.4 hours using the entire HAL deep learning cluster at the National Center for Supercomputing ApplicationsBack to article page