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Multi-Instance GPU: Difference between revisions
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Jobs that use less than half of the computing power of a GPU and less than half of the available GPU memory should be evaluated and tested on a GPU instance. In most cases, these jobs will run just as fast on a GPU instance and consume less than half of the computing resource. | Jobs that use less than half of the computing power of a GPU and less than half of the available GPU memory should be evaluated and tested on a GPU instance. In most cases, these jobs will run just as fast on a GPU instance and consume less than half of the computing resource. | ||
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See the section [[#Finding_which_of_your_jobs_should_use_a_GPU_instance|Finding which of your jobs should use a GPU instance]] for more details. | See the section [[#Finding_which_of_your_jobs_should_use_a_GPU_instance|Finding which of your jobs should use a GPU instance]] for more details. | ||
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* <code>4g.20gb</code>: <code>--gres=gpu:a100_4g.20gb:1</code> | * <code>4g.20gb</code>: <code>--gres=gpu:a100_4g.20gb:1</code> | ||
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Note: for the job scheduler on Narval, the prefix <code>a100_</code> is required before the profile name. | Note: for the job scheduler on Narval, the prefix <code>a100_</code> is required before the profile name. | ||