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Podpora rozvoje studijního prostředí na Univerzitě Karlově - VRR
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Welcome to AIC

AIC (Artificial Intelligence Cluster) is a computational grid with sufficient computational capacity for research in the field of deep learning using both CPU and GPU. It was built on top of SGE scheduling system. MFF students of Bc. and Mgr. degrees can use it to run their experiments and learn the proper ways of grid computing in the process.


AIC is dedicated to UFAL students who will get an account if requested by authorized lector.

Connecting to the Cluster.

Use SSH to connect to the cluster:



Following HOWTO is meant to provide only a simplified overview of the cluster usage. It is strongly recommended to read some further documentation (CPU or GPU) before running some serious experiments. More serious experiments tend to take more resources. In order to avoid unexpected failures please make sure your quota is not exceeded.

Rule 0: NEVER RUN JOBS DIRECTLY ON HEADNODE. Use qrsh to get computational node shell!

Suppose we want to run some computations described by a script called

echo "This is just a test."
echo "printing parameter1: $1"
echo "prinitng parameter2: $2"

We need to submit the job to the grid which is done by logging on the submit host and issuing the command:
qsub -cwd -j y Hello World

This will enqueue our job to the default queue which is cpu.q@*. The scheduler decides which particular machine in the specified queue has resources needed to run the job. Typically we will see a message which tells us the ID of our job (82 in this example):

Your job 82 ("") has been submitted

The basic options used in this example are:

  • -cwd - the script is executed in the current directory (the default is your $HOME)
  • -j y - stdout and stderr outputs are merged and redirected to a file (

We have specified two parameters Hello and World. The output of the script will be located in your $HOME directory after the script is executed. It will be merged with stderr and it should look like this:

AIC:ubuntu 18.04: SGE 8.1.9 configured...                                                                                              
This is just a test.
printing parameter1: Hello
prinitng parameter2: World
======= EPILOG: Tue Jun 4 12:41:07 CEST 2019
== Limits:   
== Usage:    cpu=00:00:00, mem=0.00000 GB s, io=0.00000 GB, vmem=N/A, maxvmem=N/A
== Duration: 00:00:00 (0 s)
== Server name: cpu-node13