How to Setup NVIDIA GPU For Deep Learning | Installing Cuda Toolkit And cuDNN

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  • Опубликовано: 25 окт 2024

Комментарии • 77

  • @kumarprabhat2957
    @kumarprabhat2957 15 часов назад

    Thank you bro... 3-4 din se try kar raha tha , apke process se hogaya ye .. Thanks a lot....

  • @raisa3456
    @raisa3456 28 дней назад +5

    Jazakum Allahu khairan. I was totally new to all these kind of things and so followed all your shown guidelines. Now, everything is set Alhumdulillah. May Allah ease all your difficulties.

  • @tsai6164
    @tsai6164 2 месяца назад +5

    Thanks a lot! I struggled for two days and failed, but after watching your video, I succeeded in just 20 minutes.

    • @dswithbappy
      @dswithbappy  2 месяца назад +3

      great

    • @ahmeterdonmez9195
      @ahmeterdonmez9195 Месяц назад +2

      I was luckier than you brother, I found the channel quicker, thank God.

  • @NikhilSingh-zg4vh
    @NikhilSingh-zg4vh 7 дней назад +2

    Thanks a lot ! Detailed video for every steps.....🙂

  • @alfamari7675
    @alfamari7675 2 месяца назад +3

    Couldn't get cuda to work before this video, got it to work after this video. Wow, thank you so much, this video is great. Liked the video and starred the github!

    • @dswithbappy
      @dswithbappy  2 месяца назад +1

      Glad it helped

    • @ahmeterdonmez9195
      @ahmeterdonmez9195 Месяц назад +1

      Same here. I spent whole night and luckily found this channel. Subscribed and started

  • @akil_sadik
    @akil_sadik Месяц назад +2

    100% Working! Great video and has clear explanation. Please post a video for tensorflow also then it would be more valuable for us.

  • @ZafarIqbal-zz1ns
    @ZafarIqbal-zz1ns 2 месяца назад +4

    Hi Mr. Particular 😂. I like this particular video about downloading a particular driver for a particular Nvidia gpu...

  • @hemangdhanani9434
    @hemangdhanani9434 6 дней назад

    Thanks a lot, its really helpful

  • @paulntalo1425
    @paulntalo1425 27 дней назад +1

    Thank you for sharing such tasks.

  • @Shobhitchoudhary321
    @Shobhitchoudhary321 Месяц назад +1

    thanks alot brother for such a clear and simple explanation

  • @yajasarora4084
    @yajasarora4084 2 месяца назад +8

    tensorflow is not compatible with newer verions of python and cuda, can u please upload a tutorial for running tensorflow on gpu with this version of cuda?

    • @soumyadiptikader891
      @soumyadiptikader891 Месяц назад

      true....the TensorFlow 2.10 was the last TensorFlow release that supported GPU on native-Windows. Starting with TensorFlow 2.11, we need to install TensorFlow in WSL2. And newer GPUs(rtx 40 series(Ada Lovelace) doesn't support the older tensorflow version.

    • @VaidhegiDinesh
      @VaidhegiDinesh 27 дней назад

      ​@@soumyadiptikader891 Can you pls suggest the complete order of downloading compatible nvidia GPU, cuda and pyTorch version to setup from scratch?

  • @leop4689
    @leop4689 22 дня назад

    THANKS A LOT! IT IS REAL.!!!!! 100% working!!

  • @svenfritsch9702
    @svenfritsch9702 10 дней назад

    worked wel!! thx bruh

  • @dogukartal
    @dogukartal 2 месяца назад +1

    Thank you for such detailed tutorial, It is very helpful!

  • @adityabhandari2894
    @adityabhandari2894 24 дня назад +1

    it didn't work on my windows 10. i installed the NVIDIA video driver (MX450, version 565), VS C++ and anaconda were already installed on my pc, i installed the 12.4 toolkit and cudnn for windows 10, and installed pytorch 12.4. yet the script is not running
    edit: it works only when i use .ipynb files in VS code, not in jupyter notebook

  • @tabahujianto7326
    @tabahujianto7326 Месяц назад

    brother you save my day, thanks

  • @sourcex-yl5kk
    @sourcex-yl5kk 2 месяца назад +1

    very helpful , highly recommended !!!

  • @madhavagrawal6968
    @madhavagrawal6968 Месяц назад +1

    sir i have downloaded cuda 11.8 and did all the steps as you have mentioned, and it is showing to me that gpu is there and gpu is detected but the problem arises when i try to change the kernel as it is not showing to me cuda11.8 as kernel(in VScode). why is that? can you guide me through .

  • @random-kf3eh
    @random-kf3eh 8 дней назад

    if my laptap does not have nvidia getforce (instead have itel iris ) i cannot able to download ?

  • @jeevansm5442
    @jeevansm5442 16 дней назад

    is this the same steps for tensorflow gpu also

  • @bhuvanpatle4523
    @bhuvanpatle4523 Месяц назад +1

    6:39 what package I have to select??

  • @abusufianrupok783
    @abusufianrupok783 Месяц назад +2

    Can you please make e tutorial about hardware dedicated gpu setup for deep learning. It will be very helpful. There is no video in youtube about this.

    • @ahmeterdonmez9195
      @ahmeterdonmez9195 Месяц назад +2

      @dswithbappy did you read this commend brother?

    • @marcoaureliooliveira5650
      @marcoaureliooliveira5650 Месяц назад

      @@ahmeterdonmez9195 Tem vídeo sobre isso?

    • @ahmeterdonmez9195
      @ahmeterdonmez9195 Месяц назад

      @@marcoaureliooliveira5650 I learned it by myself. Don't worry it is so easy. Just 2-3 lines of code :)))

  • @kidzeecinema
    @kidzeecinema Месяц назад

    thanku sir " u r Genius "

  • @sujeetkumar-yq9ii
    @sujeetkumar-yq9ii 2 месяца назад +1

    why we create environment to install pytorch

  • @VijayKumar-nz6ij
    @VijayKumar-nz6ij 3 месяца назад +1

    Hlo sir could you share the text summarisation with N-grams using deep learning back end code 😢

  • @uwegenosdude
    @uwegenosdude 2 месяца назад

    THanks a lot for this helpful video. After following your instructions CUDA is working pretty well on my Windows 11 PC. Anaconda is also working but also in my normal python environment I can use CUDA now. SO Ananconda is nice but it was not necessary.

  • @r2prof
    @r2prof 20 дней назад

    Hi, Can you please make a video to install TF (the latest version) in Windows with GPU support? I am also using RTX 3060. Thanks again for the great tutorial.

  • @sreemedhaetta350
    @sreemedhaetta350 12 дней назад

    Thank alot.but i stuch here
    $ conda activate test
    bash: conda: command not found

  • @that_way-r2n
    @that_way-r2n Месяц назад

    Thank you really helpful

  • @Danyal_alam
    @Danyal_alam 2 месяца назад

    when will be mlops project next session ?

  • @SmrutiRanjanKodamasingh-li1lh
    @SmrutiRanjanKodamasingh-li1lh 2 месяца назад

    does installing this with pytorch mean there will be changes in the code that we wrote while building a DL model using tensorflow?

  • @zayfin
    @zayfin Месяц назад

    Hi, can i use nvidia cuda in my laptop vga card (rtx 4060)?

  • @LadeJayanthEswarch22b075
    @LadeJayanthEswarch22b075 2 месяца назад

    How can I enable gpu support for tensorflow

  • @himanshukoul7766
    @himanshukoul7766 3 месяца назад

    i had desktop development with c++ installed on visual studio are all of these individual components required? its going beyond 15GB

  • @r2prof
    @r2prof 20 дней назад

    Thank you.

  • @aravinds646
    @aravinds646 Месяц назад

    What model gpu is good for running a dl model

  • @thomasv860
    @thomasv860 3 месяца назад

    Thank you. Could you also create a video for TF with WSL?

  • @vasanaprathyusha1711
    @vasanaprathyusha1711 Месяц назад

    I did all the steps line by line. But still my code is running in CPU only. What’s the problem. Mine is NVidia GeForce RTX 4050 series laptop. Windows 11. I installed Cuda 12.1 version and cdnn 8.9.7 as you told

    • @vasanaprathyusha1711
      @vasanaprathyusha1711 Месяц назад

      Thank you for your reply. Iam using pytorch and have problem in that.

  • @AkulSamartha
    @AkulSamartha 2 месяца назад

    Hello mate. can u make a video on RAG with Websites please with OpenAI / any LLM

  • @praveenvishnu17
    @praveenvishnu17 3 месяца назад

    It's helps a lot, thanks

  • @shreyjain3344
    @shreyjain3344 2 месяца назад

    Please make a video on installing tensorflow from scratch

  • @ahmedibrahim1996
    @ahmedibrahim1996 3 месяца назад

    thanks my Bro , keep going. Could you also create a video for TF with WSL2?

  • @saipavan_55
    @saipavan_55 Месяц назад

    Thank you

  • @rajashekhar7211
    @rajashekhar7211 3 месяца назад +1

    Very helpfull

  • @JunaidAnsari-my2cx
    @JunaidAnsari-my2cx 9 дней назад

    The size is showing as 30 gb can I delete it after installing cuda or is it permanent?

    • @dswithbappy
      @dswithbappy  9 дней назад

      which one?

    • @JunaidAnsari-my2cx
      @JunaidAnsari-my2cx 9 дней назад

      @@dswithbappy oh mb The Visual Studio installation after checking everything with c++
      Also I did end up downloading it and but for some reason got "Warning ran out of memory, use stream=True" error. It was fine before but got it after installing cuda, uninstalled everything and it's back to normal. Lags tho but idk what was the problem

  • @DILIPKISAN
    @DILIPKISAN 2 месяца назад

    Thank u sir

  • @mdbayazid6837
    @mdbayazid6837 3 месяца назад

    Please also include ubuntu in your next video list.

  • @paullawrenceporlarescastil9168
    @paullawrenceporlarescastil9168 Месяц назад

    what python version?

  • @atharvamishra9962
    @atharvamishra9962 Месяц назад

    Thanks

  • @eshwarbhore4631
    @eshwarbhore4631 2 месяца назад

    is conda necessary ??
    |

    • @hm2715
      @hm2715 Месяц назад

      Not really if u have pip

  • @BhavyaZaveri-mb1lz
    @BhavyaZaveri-mb1lz Месяц назад

    godsend!

  • @kelixoderamirez
    @kelixoderamirez 2 месяца назад

    permission to learn sir

  • @harshmistry3018
    @harshmistry3018 Месяц назад

    You have used the "*PARTICULAR*" word almost, 108 times

  • @1AnimeFinder
    @1AnimeFinder Месяц назад

    how do i run
    import torch
    print("Number of GPU: ", torch.cuda.device_count())
    print("GPU Name: ", torch.cuda.get_device_name())
    device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
    print('Using device:', device)