How to install NVIDIA cuDNN in vSphere Bitfusion

The NVIDIA CUDA Deep Neural Network (cuDNN) is a GPU-accelerated library of primitives for use with deep neural networks.

Prerequisites

Create an NVIDIA developer account from which to download the cuDNN package matching your NVIDIA CUDA version, and appropriate for your Linux distribution. See https://developer.nvidia.com/cudnn.
Verify you have installed a vSphere Bitfusion client.
Verify you have installed NVIDIA CUDA.

Procedure

Install the NVIDIA cuDNN package by running the command sequence for your Linux distribution.
- Ubuntu version 20.04
```
sudo dpkg -i libcudnn8_8.0.5.39-1+cuda11.0_amd64.deb
```
- CentOS 8 and Red Hat Linux 8
```
sudo rpm -ivh libcudnn8-8.0.5.39-1.cuda11.0.x86_64.rpm
```
(Optional) To verify that NVIDIA cuDNN is installed, run ldconfig -p | grep cudnn.

What to do next

If you are using CentOS or Red Hat Linux, first you must install Python 3. See How to install Python on CentOS and Red Hat Linux.
If you are using Ubuntu Linux, you can install TensorFlow, PyTorch, and YOLO.