Install TensorFlow with CUDA, cDNN, and GPU Support in 4 Easy Steps

This text provides a step-by-step guide on setting up an advanced environment for deep learning using TensorFlow 2.4 and GPU support. The process is outlined for cloud VMs running Debian or Ubuntu, with hardware tested on NVIDIA GPUs like Tesla v100, P4, and K80 across AWS, GCP, and Azure. Software requirements include a Debian-compatible OS (Ubuntu 18.04 recommended), Python 3.8, and the Anaconda package manager. The steps involve installing Conda, creating a Conda environment for TensorFlow 2.4, installing NVIDIA Developer Libraries, and confirming GPU setup using TensorFlow's new method.