Installing Latest TensorFlow on Windows with CUDA, cudNN & GPU support - Step by Step Tutorial 2022

In this video I will show you how to set up and install the latest Tensorflow version with GPU support on Windows 10 & 11. We will require Visual C++, CUDA, CuDNN, as well as the Python libraries using Anaconda.
▶ Step 6: Jupyter Notebook, Environment & TensorFlow/Keras

*I use affiliate links on the products that I recommend. These give me a small portion of the sales price at no cost to you. I appreciate the proceeds and they help me to improve my channel!

Equipments I use for recording the videos:

If you do have any questions with what we covered in this video then feel free to ask in the comment section below & I'll do my best to answer those.

If you enjoy these tutorials & would like to support them then the easiest way is to simply like the video & give it a thumbs up & also it's a huge help to share these videos with anyone who you think would find them useful.

Please consider clicking the SUBSCRIBE button to be notified for future videos & thank you all for watching.

You can find me on:

#tensorflow #gpu #windows #cuda #cudnn

[danielsun]

FYI, because after tensorflow-2.10, tensorflow will not support GPU on naive-windows instead of WSL2. So the last version is tensorflow-2.10.1.

Remember, you have to install CUDA-11.2 and cudnn-8.9 in your host machine.

Also, you need to install anaconda-navigator, any version is OK.
Then in anaconda-navigator create the virtual environment with Python 3.10.x, you cannot use Python 3.11, because that is the limit for tensorflow-2.10
After that, in your venv-python 3.10 in anaconda prompt:
pip install tensorflow==2.10.1
then you gonna see 'True'

[MaryadiGeophysicist]

Thanks! Very helpful!
I follow the instructions and it works very well. Confirmed with actual TensorFlow usage. However, due to limitations for Windows native, I specify the version of some packages and software as follows:

- VS Community 2019
- CUDA 11.4
- CuDNN 8.2.4.15
- Python 3.9.7
- TensorFlow 2.7.0

To avoid errors in TensorFlow installation, you may need to install Protobuf==3.20.0 in advance.

[ayomideoraegbu]

I don't comment often on social media, but I have to give you your "flowers" for this tutorial video. It really helped me, and for that I am thankful.

[CrewNDx]

Hi Bhabesh, Thank you so much! I attempted to install Tensorflow on GPU twice and eventually gave up. Recently, I am working on a project where I am training 5370 lstm models on billions of observations and training on CPU is a joke. hence I had to make it work and I spent around 7 hours to figure it out and finally I stumbled on your video and it worked like a charm. You saved my life. Thank you so very much! God Bless you

[chantony]

Thanks! Very helpful!
I follow the instructions and it works very well. Confirmed with actual TensorFlow usage. However, due to limitations for Windows native, I specify the version of some packages and software as follows:

- VS Community 2022
- CUDA 11.8.0 [Highest supported version in Windows at the moment]
- CuDNN 8.9.5.30 [Highest supported version in Windows at the moment]
- Python 3.10.13 [Highest supported version in Windows at the moment]
- TensorFlow 2.10.0 [Highest supported version in Windows at the moment]

[rkvyoiy]

Thank you for your kindness. I just bought a new computer and it has helped me tremendously.

[aneeshkalita]

Thank you so much Bhavesh. Worked Flawlessly and enjoyed the whole process ! Cheers

[kevinsuvarna]

Hello. Everything went correctly. At the last step, when I am checking whether the GPU's are connected, it is returning False. Any suggestions?

[tvharikrishna]

Thank you so much. Best Tutorial in first go my laptop tensorflow is accessing the GPU of my machine. Thank you so much for beautiful lesson 😎

[juanpineda]

Ty for saving me, now I can train NN so much faster, kudos for the excelent work

[vamc]

Thank you !!!, such an amazing video to install cuda and CuDNN, it was very helpfull and
it works!!!!

[akshatbanga]

Thank you so much Bhavesh bhai it was a great effort and a great help indeed.

[PetarLuketina]

Unfortunely, it did not work for me, even after using all the same versions. I have an RTX 4090 so I am not sure if that's the issue. I will have to do more research because CPU is not ideal. Thank you for the video because it gives me an introduction of what I may need to eventually do.

[ritikrana]

I followed every step, but it is not working. Gives FALSE. Please help

[pablodiegoacosta]

Yo save me from a depression jajajajajaj Thanks a lot!!!

[KienTran-bcdr]

After months I was able to get my GPU to run with python 3.10 and tensorflow 2.10.1. I also uninstalled all my CUDA 12 and installed CUDA 11.6 instead (not sure if that helps). Here is my code.

conda create -y --name tf python=3.10
conda activate tf

pip install tensorflow==2.10.1

python
import tensorflow as tf



Thanks to all the troubleshooting in the comments, hope everyone has a nice day.

[harshal]

While downloading its saying-> [NVIDIA installer cannot continue
No NVIDIA is detected in your computer
This graphics driver could not find compatible graphics hardware.]

How to fix it

[adhikari]

What you Actually need!
--> cuda version 11.2
--> cuDNN version compatible with any 11.x version will work.
--> python version 3.10.13
--> tensorflow version 2.10.1 will only work. (pip install tensorflow==2.10.1)
(Anaconda Any latest version will work)
cuda version 11.6 might not work but 11.2 does!

[rahulmondal]

I can now see that TensorFlow is accessing the GPU of my machine. Thank you so much for the beautiful lesson.

[minastiktok]

actually this is the first time that i found an informative video like this, really thank you