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1,103 bytes added ,  18:20, 13 May 2019
And yes, it's a thing of beauty!
 
===X Windows===
 
Now install the X window system. The easiest way is:
tasksel
And choose your favorite. We used Ubuntu Desktop.
 
And reboot again to make sure that everything is working nicely.
 
===Bcache===
 
 
===Dev Tools===
 
====DIGITS====
 
Installing Docker CE first, following https://docs.docker.com/install/linux/docker-ce/ubuntu/
 
Then follow https://github.com/NVIDIA/nvidia-docker#quick-start to install docker2, but change the last command to use cuda 10.1
...
sudo apt-get install -y nvidia-docker2
sudo pkill -SIGHUP dockerd
# Test nvidia-smi with the latest official CUDA image
docker run --runtime=nvidia --rm nvidia/cuda:10.1-base nvidia-smi
 
 
 
 
 
 
*cuDNN: https://developer.nvidia.com/cuDNN
**Install Documentation https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html
*DIGITS: https://developer.nvidia.com/digits
**Install Docker:
**Then https://github.com/NVIDIA/DIGITS/blob/digits-6.0/docs/DockerInstall.md
*Anaconda
**Tensorflow
*Caffe: http://caffe.berkeleyvision.org/
*Theano
*Torch
*BIDMach
 
 
===Samba===
 
Configure the Samba Server
Create researcher account

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