| `qcpu` | Production queue for non-accelerated nodes intended for standard production runs. Requires an active project with nonzero remaining resources. Full nodes are allocated. Identical to `qprod`. |
| `qcpu` | Production queue for non-accelerated nodes intended for standard production runs. Requires an active project with nonzero remaining resources. Full nodes are allocated. Identical to `qprod`. |
| `qgpu` | Dedicated queue for accessing the NVIDIA accelerated nodes. Requires an active project with nonzero remaining resources. It utilizes 8x NVIDIA A100 with 320GB HBM2 memory per node. The PI needs to explicitly ask support for authorization to enter the queue for all users associated with their project. **On Karolina, you can allocate 1/8 of the node - 1 GPU and 16 cores**. For more information, see [Allocation of vnodes on qgpu][4]. |
| `qgpu` | Dedicated queue for accessing the NVIDIA accelerated nodes. Requires an active project with nonzero remaining resources. It utilizes 8x NVIDIA A100 with 320GB HBM2 memory per node. The PI needs to explicitly ask support for authorization to enter the queue for all users associated with their project. **On Karolina, you can allocate 1/8 of the node - 1 GPU and 16 cores**. For more information, see [Karolina qgpu allocation][4]. |
| `qcpu_exp`<br>`qgpu_exp` | Express queues for testing and running very small jobs. There are 2 nodes always reserved (w/o accelerators), max 8 nodes available per user. The nodes may be allocated on a per core basis. It is configured to run one job and accept five jobs in a queue per user. |
| `qcpu_exp`<br>`qgpu_exp` | Express queues for testing and running very small jobs. There are 2 nodes always reserved (w/o accelerators), max 8 nodes available per user. The nodes may be allocated on a per core basis. It is configured to run one job and accept five jobs in a queue per user. |