A Big Data Center collaboration between computational scientists at Lawrence Berkeley National Laboratory’s (Berkeley Lab) National Energy Research Scientific Computing Center (NERSC) and engineers at Intel and Cray has yielded another first in the quest to apply deep learning to data-intensive science: CosmoFlow, the first large-scale science application to use the TensorFlow framework on a CPU-based high performance computing platform with synchronous training. It is also the first to process three-dimensional (3-D) spatial data volumes at this scale, giving scientists an entirely new platform for gaining a deeper understanding of the universe.