This is an old revision of the document!
Table of Contents
GPU at ÚFAL
This page summarizes which UFAL servers have some GPU card, and suggest basic diagnostic commands, paths to installed tools, etc., simply everything necessary at the very beginning of using GPU for experiments
Servers with GPU units
| machine | GPU | GPU RAM | Cuda | Theano | TensorFlow | Comment |
| titan-gpu | 2x GeForce GTX Titan | 6 GB each | ? | ? | ? | |
| twister1 | …has burnt | |||||
| twister2 | GeForce GTX 570 | 1 GB | ? | ? | ? | |
| kronos | ?? | ?? | ? | ? | ? | I don't have nvidia-smi in path |
Installed toolkits
This should mention where each interesting toolkit lives (on a particular machine).
Basic commands
lspci # is any such hardware there? nvidia-smi # more details, incl. running processes on the GPU # ??? but where is nvidia-smi located, if not in /usr/bin/nvidia-smi nvcc --version # this should tell CUDA version # ??? but where is it located once CUDA is installed?