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NVIDIA Exam NCA-AIIO Topic 1 Question 1 Discussion

Actual exam question for NVIDIA's NCA-AIIO exam
Question #: 1
Topic #: 1
[All NCA-AIIO Questions]

You are managing an AI infrastructure that includes multiple NVIDIA GPUs across various virtual machines (VMs) in a cloud environment. One of the VMs is consistently underperforming compared to others, even though it has the same GPU allocation and is running similar workloads.What is the most likely cause of the underperformance in this virtual machine?

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Suggested Answer: A

In a virtualized cloud environment with NVIDIA GPUs, underperformance in one VM despite identical GPU allocation suggests a configuration issue. Misconfigured GPU passthrough settings---where the GPU isn't directly accessible to the VM due to improper hypervisor setup (e.g., PCIe passthrough in KVM or VMware)---is the most likely cause. NVIDIA's vGPU or passthrough documentation stresses correct configuration for full GPU performance; errors here limit the VM's access to GPU resources, causing slowdowns.

Inadequate storage I/O (Option B) or CPU allocation (Option C) could affect performance but would likely impact all VMs similarly if uniform. An incorrect GPU driver (Option D) might cause failures, not just underperformance, and is less likely in a managed cloud. Passthrough misalignment is a common NVIDIA virtualization issue.


Contribute your Thoughts:

Filiberto
4 days ago
I believe inadequate storage I/O performance could also be a contributing factor to the VM's underperformance.
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Glory
6 days ago
I agree with Domingo, incorrect GPU driver version installed could also be a reason for underperformance.
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Almeta
10 days ago
Hmm, this sounds like a classic case of the GPU being underutilized due to a misconfigured passthrough. I'd go with option A.
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Marquetta
3 days ago
User 1: I think the GPU passthrough settings might be misconfigured.
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Domingo
13 days ago
I think the most likely cause is misconfigured GPU passthrough settings.
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