# Using SecretLab GPU Servers

## Highlights
SGPUW1: __172.30.200.1__ (3x RTX 6000 Ada 48GB)

SGPUW2: __172.30.200.2__ (1x RTX 4090 24GB, 1x RTX 4080 16GB, 1x QRTX 8000 48GB)

## Connect To SecretLab VPN


## Connect To SecretLab GPU
To connect to the GPU, take the following steps:

Open up your terminal, then ssh into the GPU. Example: `$ ssh <username>@172.30.200.1.`

This would request your already assigned password. You can either type in or copy-paste in the password.

Then you can do `$ nvidia-smi` to see the number of GPUs and available GPUs.
to activate a GPU.

The command is `$ genv activate --gpus <number of GPU>`.

If you ls when you log in through the terminal, you will encounter something funny because you will have zero or no directories.
to resolve this, you have to log into the VM (Microsoft remote Desktop) of the lab. then, you open remote desktop connection. 

This should ask for the computer, you would input the IP address (172.30.200.1) and then click connect. 

This should lead you to where you input your username and password. You should input your assigned username and password here and click `'OK'`

Logging in through this should create your directories automatically for you. You can check this by opening up the terminal in the remote desktop connection and typing in ls to see your directory. then you can log out and close the remote desktop. 

## Photo walkthrough
<img width="660" alt="Screenshot 2023-10-04 at 2 27 04 PM" src="https://github.com/Shejeebhomee/GPUs/assets/15135729/d778c5de-79a7-4874-aa38-a36198c62356">



## Notes
* [x] Make sure you are connected to the VPN.
* [x] Start the conda environment before starting the GPU.
## License