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/

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ML inference workload is pending - Learn by Fixing

A scenario built for engineers who want real debugging skills.

Learn by Fixing