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| habrok:advanced_job_management:rtx_pro_6000_gpu_nodes [2026/02/27 10:07] – created fokke | habrok:advanced_job_management:rtx_pro_6000_gpu_nodes [2026/02/27 10:23] (current) – [Accessing the new nodes] Format codestring pedro |
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| ===== Accessing the new nodes ===== | ===== Accessing the new nodes ===== |
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| To request a job on the new nodes, one must specifically include it in the scheduler requirements. This can be done by including the ''gres'' requirement, for example ''%%#SBATCH --gpus-per-node=rtx_pro_6000:1%%'' will request one of the RTX PRO 6000 GPUs for the job. Keep in mind that the V100 and A100 GPU nodes are the default nodes in the ''gpu'' partition, that is, if you simply request a job to runs in the ''gpu'' partition without specifying the kind of GPU through ''--gpus-per-node=GPUTYPE:N'' the job will be allocated wherever there is capacity in **A100 or V100 nodes only**. To ensure you get RTX GPUs always explicitly specify so in your jobscript. | To request a job on the new nodes, one must specifically include it in the scheduler requirements. This can be done by including the ''gres'' requirement, for example ''%%#SBATCH --gpus-per-node=rtx_pro_6000:1%%'' will request one of the RTX PRO 6000 GPUs for the job. Keep in mind that the V100 and A100 GPU nodes are the default nodes in the ''gpu'' partition, that is, if you simply request a job to runs in the ''gpu'' partition without specifying the kind of GPU through ''%%--gpus-per-node=GPUTYPE:N%%'' the job will be allocated wherever there is capacity in **A100 or V100 nodes only**. To ensure you get RTX GPUs always explicitly specify so in your jobscript. |
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| | Also note that you should try to aim for a GPU that matches your job requirements, preventing the larger RTX Pro 6000 GPUs to be swamped with simple tasks. |
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| An example job script that requests two GPUs and 32 CPU cores could be: | An example job script that requests two GPUs and 32 CPU cores could be: |