Help with installing a Linux operating system and workstation on a Deep learning workstation

[sector5 0]

Hello to the forum members.

I want to install from scratch on a new drive, Operating System And a work environment with everything around.

I am looking for a good guide preferably in Hebrew or English to install Linux And a work environment with software like docker and drivers suitable for graphics card and pytorch.

What version of Linux Best for the task?

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[Ido.G 57]

It does not really matter. You can read about it 100 discussions, and in each of them you will be told that the ultimate system is something different. Any big and serious distribution will be good. I got used to Ubuntu because it's mainstream. So now people will come and say that she is actually Derek and there are some much better ones. Okay.

 

In short there is not too much to read about installing a distribution Linux. Go to her website. Take it off. Create a Bootable DOK using Rufus, boot your computer from this device, and install. You probably won’t be required to mess with graphics card drives, not in big, new distributions.

 

For everything else, just look for guides as needed. There's really nothing to say ...

[sector5 0]

Hi Ido, thanks for the response, I installed Linux Like she said.

 

Can you expand on "everything else"? What does that mean?

[Ido.G 57]

The intention was to install Docker, Python, IDE, and all the other things you need.

It is usually best to look for a detailed guide to the tech you are interested in.

[Sheik Yerbouti 31]

There are a large number of posts on the subject in the medium, for example:

https://medium.com/analytics-vidhya/setting-up-a-deep-learning-system-with-ubuntu-nvidia-gpu-docker-and-tensorflow-c1be8844e49c

 

VDA is also possible in Windows 10. There is an Anaconda, Docker and WSL that will soon receive direct GPU support :

https://www.docker.com/blog/wsl-2-gpu-support-is-here/

 

 

 

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[multicore 152]

You must be more specific.

Everything you mentioned is not a political secret. Just read documents and / or guides and it works.

[sector5 0]

Quote of Sheik Yerbouti

There are a large number of posts on the subject in the medium, for example:

https://medium.com/analytics-vidhya/setting-up-a-deep-learning-system-with-ubuntu-nvidia-gpu-docker-and-tensorflow-c1be8844e49c

 

VDA is also possible in Windows 10. There is an Anaconda, Docker and WSL that will soon receive direct GPU support :

https://www.docker.com/blog/wsl-2-gpu-support-is-here/

 

 

 

 

I installed in windows wsl 2, works very well just a pity I can not work on the GPU inside it

[Sheik Yerbouti 31]

Quote of sector5

 

I installed in windows wsl 2, works very well just a pity I can not work on the GPU inside it

https://ubuntu.com/blog/getting-started-with-cuda-on-ubuntu-on-wsl-2

 

https://docs.nvidia.com/cuda/wsl-user-guide/index.html

 

 

It still exists only in the MS developer channel, and only for NVIDIA.

By running a specific DOCKER container of NVIDIA Within WSL.

Try to follow the instructions in the link, not from my experience.