Problem
The Ghost lab node detects the AMD GPU capability but does not expose any schedulable GPU capacity to workloads.
Observed from the cluster:
Node: ghost
status.capacity.amd.com/gpu: 0
status.allocatable.amd.com/gpu: 0
The node has AMD GPU-related hardware labels, but a pod requesting an AMD GPU cannot be scheduled because the advertised resource count is zero.
Impact
GPU-accelerated workloads, including media-processing and AI inference jobs, must fall back to CPU despite the lab having GPU hardware.
Requested outcome
Configure and validate the AMD GPU device plugin/runtime on Ghost so amd.com/gpu is reported with the actual non-zero count in node capacity and allocatable resources. Document a minimal GPU pod validation command or manifest.
Problem
The Ghost lab node detects the AMD GPU capability but does not expose any schedulable GPU capacity to workloads.
Observed from the cluster:
The node has AMD GPU-related hardware labels, but a pod requesting an AMD GPU cannot be scheduled because the advertised resource count is zero.
Impact
GPU-accelerated workloads, including media-processing and AI inference jobs, must fall back to CPU despite the lab having GPU hardware.
Requested outcome
Configure and validate the AMD GPU device plugin/runtime on Ghost so
amd.com/gpuis reported with the actual non-zero count in node capacity and allocatable resources. Document a minimal GPU pod validation command or manifest.