Deep Learning With Tensorflow 2.0, Keras and Python - 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/ 🔖Hashtags🔖 #deeplearningmultigpu #deeplearninggpusetup #tensorflowdistributedtraining #tensorflowmirroredstratergy #distributedtraining #dgxa100 #nvidiadgxa100 Do you want to learn technology from me? Check https://codebasics.io/ for my affordable video courses. 🌎 Website: https://www.codebasics.io/ 🎥 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/codebasicshub 📱 Twitter: https://twitter.com/codebasicshub 📝 Linkedin (Personal): https://www.linkedin.com/in/dhavalsays/ 📝 Linkedin (Codebasics): https://www.linkedin.com/company/codebasics/ ❗❗ DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.