(working-gpus)=
# GPUs on the HPC
This page covers the {term}`Graphics Processing Unit (GPU)` resources available on the {term}`cluster`. The `gpu` {term}`partition` is the general GPU resource for HPC users; `multigpu` is the alternative partition where more than one GPUs are accessible.

Anyone with a cluster account has access to the `gpu` partition. However, to access the `multigpu` partition, you must submit a [ServiceNow ticket].

:::{note}
**When working with shared computational resources, it is important to remember not to leave the jobs idle.**
:::

:::{list-table}
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header-rows: 1
align: center
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* - Name
  - Requires Approval?
  - Time in Hours (Default/Max)
  - Submitted Jobs
  - GPU per Job Limit
  - User Limit (No. GPUs)
* - `gpu`
  - No
  - 4/8
  - 4/100
  - 1
  - 4
* - `multigpu`
  - **Yes**
  - 4/24
  - 8/100
  - 8
  - 8
:::
::::{important}
Consider the compatibility of the GPU, as some programs do not work on the older k40m or k80 GPUs.

Execute the following command to display the `non-Kepler` GPUs that are available:

:::
sinfo -p gpu --Format=nodes,cpus,memory,features,statecompact,nodelist,gres
:::

This indicates the state (idle or not) of gpu-types and could be helpful to find one that is `idle`. However, the command does not give real-time information of the state and should be used carefully.
::::

[ServiceNow ticket]: https://bit.ly/NURC-PartitionAccess