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NCP-AIOL
Workload Management
hard
Question 5 of 46

In a multi-cluster AI platform rollout, the administrators need the answer that resolves the scenario without drifting from documented platform behavior. Which response best addresses fractional GPU versus MIG?

AUse MIG whenever a workload only needs part of GPU memory, even on GPUs or environments where MIG is not the intended sharing method.
BRely on a generic scheduler path even when AI-aware priority and GPU efficiency are the main constraints.
CChoose fractional GPU sharing when the goal is partial-memory sharing, and choose MIG when the goal is isolated GPU instances on supported hardware.
DTreat notebook, training, and inference workflows as unsupported unless they are rewritten into one fixed job type.

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