Well, you have got a server (most probably linux) which you want to run your tasks on it. How should you do that? Here I list all the challenges I’ve encountered.

## SSH

First of all, you know that you should connect to server via SSH: (1914 is just a dummpy number for port. Just select something that linux hasn’t used)

ssh -L 1914:localhost:1914 [email protected]


After that you will need to enter your password for the user pourmand in the server.

You may also want the server to know your computer i.e. it does not ask for password every time you want to connect to it. If that’s the case, I suggest that you read this tutorial. To put it in the nutshell, you sould copy your public ssh key to the server using ssh-copy-id command.

In addition, you can also define your ssh servers in a file called config. This way you can connect to the server just by typing:

ssh my_server


For that, open ~/.ssh/config file and write the following configuration:

HOST <<your_desired_host_name>>
HOSTNAME <<hostname_ip>>
LOCALFORWARD 1717 localhost:1717


You can also set tmux to open automatically by adding the following lines (Reference) :

    RequestTTY yes
RemoteCommand tmux new -A -s <<your_tmux_session_name>>


## Tmux

Then you can run your commands on the server, e.g.:

python train.py ...


This is especially good for commands that do not take long time to run. If you have a model that need to be trained for days or even longer, you can not use this. That’s because the moment you close your ssh, all your normal processes would die. So, you will need to use a terminal multiplexer like tmux or screen to handle this problem. Both of them are free and open source and both have easy commands to achieve your needs. You can read full pros and cons here. I use tmux because the syntax is easier to use.

Here is a simple tmux session I have created. Note that the session has 6 open tabs. Each of them may do something different.

If you install tmux, out of the box, it won’t look like this. You have to install Oh-my-tmux to make it look pretty. It is pretty easy to install. Just copy the lines and you’re set.

## Bash, Zsh

Also, if you are using bash, I recommend installing Oh-my-bash and if you are working with zsh, I recommend installing Oh-my-zsh. Actually, we live in the terminal. It shouldn’t look like 80’s anymore. It should look pretty.

## Miniconda

Then, you want to install python packages in your environment. But hold on. You can not and should not install them system-wide. This is because multiple projects would require different versions of packages. They may even require different python versions other than preinstalled ones. We need a solution to handle all of them.

Miniconda in my opinion is a very good solution to all of these problems. You can install it using this guide. Once installed, you basically need these commands.

# create a new env
conda create -n venv

# create a new env with specified python version
conda create -n venv python=3.8

# to activate the env
conda activate venv


Now for package installation, you can use both conda install and pip install. Some people say that you shouldn’t use both of them because it may cause problems. I just tend to use conda for creating and activating environment. Then, installing everything else with pip and that works just fine.

## Htop

I can’t think anyone not using this tool. It shows you all processes and their memory usuage and what not.

## Nvidia-htop

You can see GPU information using nvidia-smi. But most of the time, it doesn’t tell you all the information you need at once. You want to undestand who is using GPU or how much time GPU is being used and what not. You can see all you need using nvidia-htop. For installation, it is indeed very easy.

pip install nvidia-htop

# then run
nvidia-htop.py


## NVITop

This one is very similar with nvidia-htop but it shows more!

Installation is also very easy:

pip install nvitop

# then run
nvitop