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NVIDIA NCP-AIO Exam - Topic 4 Question 2 Discussion

Actual exam question for NVIDIA's NCP-AIO exam
Question #: 2
Topic #: 4
[All NCP-AIO Questions]

Your organization is running multiple AI models on a single A100 GPU using MIG in a multi-tenant environment. One of the tenants reports a performance issue, but you notice that other tenants are unaffected.

What feature of MIG ensures that one tenant's workload does not impact others?

Show Suggested Answer Hide Answer
Suggested Answer: A

Comprehensive and Detailed Explanation From Exact Extract:

NVIDIA's Multi-Instance GPU (MIG) technology provides hardware-level isolation of critical GPU resources such as memory, cache, and compute units for each GPU instance. This ensures that workloads running in one instance are fully isolated and cannot interfere with the performance of workloads in other instances, supporting multi-tenancy without contention.


by Carlota at Oct 07, 2025, 03:59 PM

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Lizette
7 days ago
A ensures fairness. Other tenants shouldn't suffer.
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Phung
13 days ago
I feel A is the right answer. Protects resources effectively.
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Dylan
18 days ago
A is the best choice. Performance issues need isolation.
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Val
23 days ago
B could work, but isolation is more crucial here.
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Aileen
2 months ago
But what about B? Dynamic allocation sounds good too.
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Stephane
2 months ago
Agreed, A makes sense. Keeps workloads separate.
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Casie
2 months ago
I think it's A. Hardware-level isolation is key.
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Larae
2 months ago
Seems like A is the only option that makes sense!
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Lindy
2 months ago
B is interesting, but not the right answer.
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Alison
2 months ago
Wait, I thought shared memory was the main feature?
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Linn
3 months ago
Totally agree, that’s how MIG works!
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Elsa
3 months ago
I’m leaning towards A too, but I wonder if C might be relevant since shared memory could affect performance.
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Sherill
3 months ago
I'm not entirely sure, but I remember something about dynamic resource allocation. Could it be B?
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Rikki
3 months ago
C) Shared memory? No way, that's just asking for trouble in a multi-tenant setup. *chuckles*
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Bernardo
3 months ago
A) Ah, the old "divide and conquer" approach. Keeps the peace in the GPU neighborhood.
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Tamera
3 months ago
I think the answer might be A, since MIG provides hardware-level isolation, which seems crucial for multi-tenant setups.
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Fabiola
4 months ago
A) Hardware-level isolation is key here.
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Vashti
4 months ago
Definitely A. Can't let one tenant slow down the others.
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Lenita
4 months ago
I feel like I’ve seen a question like this before, and I think it was about how resources are allocated. A sounds right, but B could also be a contender.
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Allene
4 months ago
A) Hardware-level isolation is the way to go. Gotta keep those tenants in their own little bubbles.
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Mignon
5 months ago
B) Dynamic resource allocation sounds good, but it doesn't prevent one tenant from impacting others.
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Shaun
5 months ago
A) Definitely the right choice. Isolation is key in a multi-tenant environment.
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Tran
5 months ago
A) Hardware-level isolation is the correct answer. This ensures that each tenant's workload is completely isolated from others.
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Jannette
5 months ago
Hardware-level isolation sounds like the right answer here. Keeping the compute, memory, and cache resources separate for each tenant is probably what prevents performance issues from spreading.
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Candra
6 months ago
Hmm, I'm not totally sure about this one. I'd want to double-check the details on how MIG's isolation works to make sure I understand it correctly before answering.
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Dorthy
6 months ago
Based on the question, it seems like hardware-level isolation is the feature that ensures one tenant's workload doesn't affect the others. The other options don't seem as relevant.
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Murray
6 months ago
I'm a bit confused on the difference between hardware-level isolation and dynamic resource allocation. Aren't they both ways to prevent one tenant from impacting others?
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Gertude
6 months ago
I think the key here is the hardware-level isolation that MIG provides. That should ensure each tenant's workload is completely separated.
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Glen
2 days ago
Definitely! It keeps workloads separate.
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Jaclyn
4 months ago
I agree, hardware-level isolation is crucial.
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