Ultimate Guide: Install TensorFlow GPU on WSL2 Ubuntu 24.04 | CUDA, cuDNN, TensorRT & PyTorch

Learn how to install TensorFlow GPU on WSL2 Ubuntu 24.04 for Windows 11 in this comprehensive tutorial! This video covers the step-by-step process to install and configure the CUDA toolkit, cuDNN, and TensorRT. As a bonus, we'll also show you how to install PyTorch. Perfect for AI developers and data scientists looking to harness the power of NVIDIA GPUs on a Windows 11 system.

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I tried to put all the commands here but Youtube didn't allow me to put the commands. Please check the github repository for all the commands:

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0:00 Introduction
0:30 Setting up WSL2 on Windows 11
2:00 Installing Ubuntu 24.04 on WSL2
3:45 Installing NVIDIA Drivers
5:15 Installing CUDA Toolkit
7:30 Setting up cuDNN
9:00 Installing TensorRT
11:00 Verifying CUDA and cuDNN Installation
12:30 Installing TensorFlow GPU
15:00 Testing TensorFlow GPU Installation
16:30 Bonus: Installing PyTorch
18:00 Testing PyTorch Installation
19:30 Conclusion

[NatanaelFerreiraCostadeCastro]

In more than three weeks of watching tutorials and looking for amazing solutions, you were the only one who could help me. Thank you very much.

[guitarist]

Man, I don't know how it's possible but it's working. You did such a great tutorial for a noob as me that started 3 days ago learning Deep Learning. And it worked at the first try! Great job

[bertjansen]

Brilliant, Thank You! Been trying to do this for at least 6 month now and finally got it to work!!!😁

[inclinedadarsh]

I have been trying to do this for so long. Finally a video that showed me exactly how to do that and solved all my queries. Thank you so much!

[AboElWes]

You Are a LEGEND man!!! After all that searching you are the one who's done it for me. Keep Going. CHEERS!!!

[shashankpericherla]

Thank you so much bro, I wasted hours and days trying to figure whats wrong. you deserve more support and subscribers.

[bxyz]

Thank you so much! The only tutorial that has worked so far end-to-end. Thanks again!

[anandharsh]

Thank you so much. Please keep uploading. Learned a lot from you. Respect.

[halilkaya]

Thank you for preparing this guide, it was very helpful

[eymericchauchat]

You're the software wizard I needed, thank you very much

[iihyder]

Thank you my brother!
Very Useful video

[surajkumar-vdxl]

Thank you so much. Great tutorial! 👍👍👍👍👍👍👍

[neelg]

Thank you SO MUCH! All other resources are sooo behind that I wasted way too much time trying to get TensorRT to show up.

[yudhitanasa]

Thank you so much. It works, really save the time. GOD BLESS YOU.

[nilutpaldas]

**THIS VIDEO CAN HELP YOU TO INSTALL ANY VERSION OF CUDA, CUDNN, TENSORRT, AND TENSORFLOW IN YOUR WSL2**

Thank you again for creating an updated video on this topic.
feedback: kindly fix the chapter's timing it is not in sync.

[nikitsbozenko]

Lol bro, I've been trying to find a solution to this problem for almost a week, I've read many gigabytes of information and visited every possible page on Nvidia's website, and somehow I can't solve this problem, you're my superman, thank you very much)❤❤❤

[HarrisonNguyen-zm]

If I install the latest version of tensorflow without tensorrt, would I later be able to use the downgraded versions of cuda and tensorflow for tensorrt? Also, the latest version of tensorflow uses cuda 12.3 while pytorch is 12.1 or 12.4, so can I have multiple cuda versions? I'm unfamiliar with these technologies because I'm just starting out.

[nonameastold]

Awesome video. Thanks a lot. Till now I was using Ubuntu and windows separately using dual boot and has tf gpu install at both place. Both has its benefit. With windows it allowed me to open large models because some how in windows my gpu was able access my system ram too. But Ubuntu supported many features of torch which doesn’t work on windows. No I am getting a new laptop and wanted to try this wsl. I want to know from your experience is your gpu able to access system memory?

[_flx_up_]

Thanks a lot man, this is the best video. I was trying to install for more than a day and couldn't. U r a saviour 🙏.
One thing i want to ask is ur GitHub link u provided has some extra lines of code to execute at the end like sudo rm and few other lines that you don't talk about in the video, should I run them?

[farhaanjamal]

Thank you soooo much, It's clear and sharp to the point
Can you help me how to use the tf environment for local windows folder in vs code