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$squeue -u user
JOBIDNAMESTATETIMENODES
49231train.pyRUNNING03:151
49232eval.shPENDING0:001
$tail -f train.log
[2025-02-14 11:37:01] Epoch 27: loss=0.334
[2025-02-14 11:37:08] Epoch 28: loss=0.312
[2025-02-14 11:36:39] Epoch 24: loss=0.421
$nvidia-smi
A100 80GB | Util: 64% | Mem: 34/80GB
Temp: 64°C
$sbatch train-job.sbatch
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Challenges

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Practice real-world SLURM problems with an interactive sandbox. Submit jobs, debug queues, fix scheduling failures — all inside your browser.

challenge_01_fair_share.shbash
Run
$ squeue -u researcher
JOBID PARTITION NAME USER ST TIME NODES
12345 compute job1 user1 PD 0:00 4
12346 compute job2 user2 R 2:15 8
# Fix the fair-share configuration...

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