_info.txt

## mehr Install Links

# Install Tensorflow-GPU to use Nvidia GPU using anaconda on Ubuntu 18.04 / 19.04 do AI!
https://medium.com/datadriveninvestor/install-tensorflow-gpu-to-use-nvidia-gpu-on-ubuntu-18-04-do-ai-71b0ce64ebc5
Tensorflow-GPU uses two software component from Nvidia to access Nvidia GPU. They are CUDA toolkit and cuDNN. If your GPU supports CUDA, then we shall be able to use it to do GPU accelerated tensorflow.

-> https://github.com/fastai/courses/blob/master/setup/install-gpu.sh

# Painless GPU and tensorflow/PyTorch integration on Ubuntu 18.04
https://mc.ai/painless-gpu-and-tensorflow-pytorch-integration-on-ubuntu-18-04/

# Tensorflow GPU Installation Made Easy: Use conda instead of pip
https://towardsdatascience.com/tensorflow-gpu-installation-made-easy-use-conda-instead-of-pip-52e5249374bc

How To Install Docker and NVIDIA-Docker on Ubuntu 19.04
https://www.pugetsystems.com/labs/hpc/How-To-Install-Docker-and-NVIDIA-Docker-on-Ubuntu-19-04-1460/

NVIDIA Docker2 with OpenGL and X Display Output
https://www.pugetsystems.com/labs/hpc/NVIDIA-Docker2-with-OpenGL-and-X-Display-Output-1527/



## offizielle und aktuelle Treiber
https://www.nvidia.de/Download/driverResults.aspx/151575/de
Version: 	430.50
Freigabedatum: 	2019.9.11
Betriebssystem: 	Linux 64-bit
Sprache: 	Deutsch
Dateigröße: 	105.42 MB 



# NVidia GPU Cloud
https://ngc.nvidia.com/catalog/landing
https://ngc.nvidia.com/catalog/containers/nvidia:tensorflow


# Einfache Einrichtung von Docker mit Nvidia GPU-Unterstützung durch Ansible
https://www.datadrivers.de/2018/09/03/docker/


# Picking a GPU for Deep Learning
https://blog.slavv.com/picking-a-gpu-for-deep-learning-3d4795c273b9