A team of data scientists infrequently needs to use a Google Kubernetes Engine (GKE) cluster that you manage. They require GPUs for some long-running, non-restartable jobs. You want to minimize cost.

The correct answer is D. Create a node pool of instances with GPUs, and enable autoscaling on this node pool with a. If you need something for long-running, non-restartable jobs you don't use preemptible VMs.

Submitted by skyler.x· Mar 30, 2026Planning and configuring a cloud solution

Question

A team of data scientists infrequently needs to use a Google Kubernetes Engine (GKE) cluster that you manage. They require GPUs for some long-running, non-restartable jobs. You want to minimize cost. What should you do?

Options

AEnable node auto-provisioning on the GKE cluster.
BCreate a VerticalPodAutscaler for those workloads.
CCreate a node pool with preemptible VMs and GPUs attached to those VMs.
DCreate a node pool of instances with GPUs, and enable autoscaling on this node pool with a

How the community answered

(27 responses)

A
11% (3)
B
19% (5)
C
4% (1)
D
67% (18)

Explanation

If you need something for long-running, non-restartable jobs you don't use preemptible VMs.

Topics

#GKE node pools#GPU workloads#autoscaling#cost optimization

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