A new GPU-enabled Kubernetes cluster just went live.
The platform team shared one simple instruction: Add "gpu=enabled" to schedule workloads on GPU nodes.
A teammate deployed an ML inference application with the correct affinity configuration… yet every pod is stuck in "Pending".
Can you figure out what's wrong and get the application running?
https://www.learnbyfixing.com/scenarios/ml-inference-workload-is-pending/
