gpu_server_setup/README.md

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# Setup for Tensorflow with GPU
Tested for ubuntu-20.04.4
Steps:
1. Prepare setup:
git clone https://repos.nonan.net/nicolas/gpu_server_setup.git
cd gpu_server_setup
2. Setup driver/CUDA:
sudo bash setup_cuda.sh
3. Reboot system:
sudo systemctl reboot
4. Setup bcache:
sudo bash setup_bcache.sh
5. Setup apps (Python, JupyterHub (Hub is running as root), Tensorflow etc.):
sudo bash setup_apps.sh
## Notes
### CUDA
Check state of NVIDIA devices (electrical power, temperature, memory etc.):
nvidia-smi
### bcache
Check bcache performance:
cat /sys/block/bcache0/bcache/state
cat /sys/block/bcache*/bcache/stats_five_minute/cache_hit_ratio
cat /sys/block/bcache*/bcache/stats_hour/cache_hit_ratio
Tune bcache (not permanent):
echo 64M > /sys/block/bcache0/bcache/sequential_cutoff
echo 4096 > /sys/block/bcache0/queue/read_ahead_kb