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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?

Show Suggested Answer Hide Answer
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:

Samuel
15 days ago
This is a tricky one, but I'd say the most likely culprit is the storage I/O. Slow disk access can really bottleneck the GPU's performance. Gotta go with B.
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Dick
6 days ago
User 1: Have you checked the storage I/O on that VM?
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Julianna
20 days ago
Haha, I bet the VM is underperforming because the IT guy forgot to feed the GPU its daily dose of CUDA cores. Option B, all the way!
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Deonna
7 days ago
Maybe the VM is not configured properly.
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Cecilia
1 months ago
D has to be the answer. Incorrect GPU drivers can really hamper the performance, especially in a virtualized environment. Been there, done that!
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Rory
7 days ago
C) Insufficient CPU allocation for the VM
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Man
19 days ago
B) Inadequate storage I/O performance
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Oliva
20 days ago
A) Misconfigured GPU passthrough settings
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Toi
1 months ago
I'm leaning towards C. Insufficient CPU allocation can definitely limit the GPU's performance, even if the GPU itself is properly configured.
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Lucina
22 days ago
C) Insufficient CPU allocation for the VM
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Ronnie
25 days ago
B) Inadequate storage I/O performance
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Eden
1 months ago
A) Misconfigured GPU passthrough settings
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Filiberto
2 months ago
I believe inadequate storage I/O performance could also be a contributing factor to the VM's underperformance.
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Glory
2 months ago
I agree with Domingo, incorrect GPU driver version installed could also be a reason for underperformance.
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Almeta
2 months 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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Shakira
11 days ago
Marya: Agreed, let's look into that.
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Aretha
22 days ago
User 3: Maybe we should check and adjust those settings.
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Jenelle
1 months ago
User 3: I agree, let's check and adjust the settings for that VM.
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Marya
1 months ago
User 2: Yeah, that could definitely be the issue.
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Buddy
1 months ago
User 2: Yeah, that could definitely be causing the underperformance.
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Caprice
1 months ago
User 1: I think the GPU passthrough settings might be misconfigured.
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Marquetta
2 months ago
User 1: I think the GPU passthrough settings might be misconfigured.
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Domingo
2 months ago
I think the most likely cause is misconfigured GPU passthrough settings.
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