GPU access and partitions¶
Overview¶
GPU resources provide accelerated computation for suitable workloads.
They are limited and managed separately from standard CPU resources.
Access¶
GPU access is not enabled by default.
You must be granted access before submitting GPU jobs.
Jobs that request GPUs without access will not start.
GPU partitions¶
GPU-enabled nodes are grouped into specific partitions, such as:
l40sa100
Check available partitions:
Requesting GPUs¶
Example job configuration:
The partition and GPU type must match.
Behaviour¶
GPU jobs:
- may queue longer due to limited availability
- require correct configuration to use GPU resources
Not all workloads benefit from GPUs.
Common issues¶
Jobs may not start if:
- GPU access has not been granted
- incorrect partition is specified
GPUs may not be used if:
- software is not configured for GPU execution
Good practice¶
- test workflows on CPU first
- request only the GPUs required
- confirm configuration before scaling