Today, we are pleased to offer TensorFlowOnSpark to the community, our latest open source framework for distributed deep learning on big-data clusters. Deep learning (DL) has evolved significantly in recent years. At Yahoo, we’ve found that in order to gain insight from massive amounts of data, we need to deploy distributed deep learning. Existing DL frameworks often require us to set up separate clusters for deep learning, forcing us to create multiple programs for a machine learning pipeline (see Figure 1 below). Having separate clusters requires us to transfer large datasets between them, introducing unwanted system complexity and end-to-end learning latency.