Shulou(Shulou.com)06/02 Report--

This article is about how to build a deep learning server for linux. The editor thinks it is very practical, so I hope you can get something after reading this article. Let's take a look at it with the editor.

Construction of linux Deep Learning Server

How can an elegant alchemist make alchemy on his own computer? he should rely on magic-ssh.

How do I build my own deep learning server on the server?

Hardware section

IU+ N card (N card that supports CUDA)

System chapter

Centos8

Server without UI (I really don't know what the use of UI is, is the remote stutter mouse experience really better than the command line? )

Adduser XXX

Passwd XXX

Software section

Install conda (see my other article, https://my.oschina.net/anzx2452/blog/4811148)

Install cuda

Install pytorch or tensorflow. Look at your own workflow.

Install jupyter (this seems to be the only option)

Open port 8888

Open jupyterjupyter lab-- ip=0.0.0.0-- no-browser-- notebook-dir=~ (allow all ip to access the browsless defined root directory)

Then visit ip+token

The above is how to build a deep learning server for linux. The editor believes that there are some knowledge points that we may see or use in our daily work. I hope you can learn more from this article. For more details, please follow the industry information channel.

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