PaddlePaddle, Baidu’s open source framework for deep learning, is now compatible with the Kubernetes cluster management system to allow large models to be trained anywhere Kubernetes can run.
This doesn’t simply expand the range of systems that can be used for PaddlePaddle training; it also provides end-to-end deep learning powered by both projects.
Training with the Big K
Deep learning frameworks must be trained on a given data set to produce results. The training process can be processor-intensive and time-consuming, so spreading it out across a cluster of machines speeds up the process.
