/wrkstn-setup

Deep learning workstation setup for RHEL/Ubuntu with Tensorflow/Keras/PyTorch and NVIDIA GeForce GTX 1080 Ti.

Linux workstation setup with Tensorflow/Keras/PyTorch and NVIDIA GPU.

Redhat Linux README

RHEL 6.8 (with default gcc 4.4.7)
CUDA 8.0
cuDNN 6.0
python 3.6.3 (Anaconda)
gcc 4.8.4 (built from source)
bazel 0.5.4 (built from source)
tensorflow-gpu r1.3 (built from source)

Ubuntu Linux README

Ubuntu 16.04.3 LTS
CUDA 8.0
cuDNN 6.0
python 3.5.2 (default with Ubuntu)
gcc 5.4.0 (default with Ubuntu)
bazel 0.5.4 (installed from binary)
tensorflow-gpu r1.4 (pip installed from binary)
keras 2.1.1 (pip installed from binary)
pytorch 0.2.0 (pip installed from binary)
torchvision 0.1.9 (pip installed from binary)
jupyter 4.4.0 (pip installed from binary)

Custom TF for Ubuntu Linux README

Ubuntu 16.04.3 LTS
python 3.6
gcc 5.4.0 (default with Ubuntu)
bazel 0.15.0 (installed from binary)
tensorflow-gpu r1.12 (custom build from source)