Distributed Training On NVIDIA DGX Station A100 | Deep Learning Tutorial 43 (Tensorflow & Python)

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-learning-keras-tf-tutorial/blob/master/43_distributed_training/dgx_benchamrking_tf_mirrored_stratergy.ipynb Deep learning playlist: https://www.youtube.com/playlist?list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO Machine learning playlist : https://www.youtube.com/playlist?list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw DGX station A100: https://www.nvidia.com/en-us/data-center/dgx-station-a100/ Website: https://www.skillbasics.com/ Codebasics Hindi channel: https://www.youtube.com/channel/UCTmFBhuhMibVoSfYom1uXEg #️⃣ Social Media #️⃣ Discord: https://discord.gg/r42Kbuk Instagram: https://www.instagram.com/codebasicshub/ Facebook: https://www.facebook.com/codebasic