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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 | cores | GPU RAM | Cuda | nvcc path | Theano | TensorFlow | Comment |
| titan-gpu | GeForce GTX Titan Z | 2 | 6 GB each core | V7.5.17 | ? | ? | ? | |
| twister1 | …has burnt | |||||||
| twister2 | GeForce GTX 570 | 1 GB | 7.5 | /usr/local/cuda/bin | ? | ? | ||
| 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 watch nvidia-smi # For monitoring GPU activity in a separate terminal (thanks to Jindrich Libovicky for this!) # See nvcc path in the table above for nvidia-smi location. nvcc --version # this should tell CUDA version # ??? but where is it located once CUDA is installed?