Quickguide to configure tensorflow and pytorch in Windows with Nvidia GPU

Rajathithan Rajasekar
3 min readMar 18, 2023
Photo by Jordan Opel on Unsplash

This blog post is a quick guide on the installation and configuration of the below softwares. Installation links are provided below

  1. Anaconda python distribution
  2. Nvidia Graphic drivers
  3. Compatible — CUDA toolkit
  4. Compatible — CuDNN DNN library
  5. Compatible — MS Visual Studio
  6. Setup of Conda environments and installation of required packages

Check the latest compatible python package, compiler , CuDNN and CUDA versions from the below link. ( This is important **)

Step: 1 Install Anaconda ( install the compatible python version)

Step: 2 — Install NVIDIA drivers

Step: 3— Install CUDA toolkit (check the compatible version)

Step:4 Install CuDNN ( Check the compatible version)



Rajathithan Rajasekar

I like to write code in Python . Interested in cloud , dataAnalysis, computerVision, ML and deepLearning. https://rajathithanrajasekar.medium.com/membership