Using tensorflow mirrored strategy we will perform distributed training on NVIDIA DGX Station A100 System. Distributed training is used to split the training workload on different GPUs on a multi GPU system. We will see how performance can be optimized and training times can be reduced using this approach. Code: https://github.com/codebasics/deep-le... Deep learning playlist: • Deep Learning With Tensorflow 2.0, Ke... Machine learning playlist : https://www.youtube.com/playlist?list... DGX station A100: https://www.nvidia.com/en-us/data-cen... 🔖Hashtags🔖 #deeplearningmultigpu #deeplearninggpusetup #tensorflowdistributedtraining #tensorflowmirroredstratergy #distributedtraining #dgxa100 #nvidiadgxa100