Nutanix Exam NCP-CI-AWS Topic 2 Question 18 Discussion

Actual exam question for Nutanix's NCP-CI-AWS exam

Question #: 18
Topic #: 2

[All NCP-CI-AWS Questions]

A company wants to use Nutanix NC2 to burst VDI resources to the AWS cloud. The VDI workloads requires GPU accelation.

Which solution meets the company's requirements?

AAN36P nodes

Bm6g.metal nodes

Cg4dn.metal nodes

DAN36 nodes

Show Suggested Answer

Suggested Answer: C

For VDI workloads that require GPU acceleration, the g4dn.metal nodes are the appropriate choice. These instances are equipped with NVIDIA T4 GPUs, which are well-suited for graphics-intensive applications such as VDI workloads that need GPU acceleration. Other node types like AN36P, m6g.metal, or AN36 do not provide the necessary GPU capabilities.

Nutanix Support & Insights - GPU support in AWS

by Joaquin at Nov 19, 2024, 05:45 AM

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Angelica

26 days ago

Wow, this is a tough one. I bet the exam writers were just waiting to trip us up with this question. Time to break out the crystal ball!

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William

4 days ago

Agreed, the g4dn.metal nodes are specifically designed for GPU workloads.

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Reuben

6 days ago

I think option C) g4dn.metal nodes would be the best choice for GPU acceleration.

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Dominga

9 days ago

C) g4dn.metal nodes

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Darrel

27 days ago

I'll have to go with D) AN36 nodes. They're part of the Nutanix ecosystem, and that seems like the most logical choice.

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Colby

9 days ago

You're right, D) AN36 nodes would probably integrate better with the existing Nutanix ecosystem.

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Tammara

12 days ago

But wouldn't AN36 nodes be more compatible with Nutanix NC2?

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Walker

14 days ago

I agree, those nodes are specifically designed for graphics-intensive workloads.

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Youlanda

21 days ago

I think C) g4dn.metal nodes would be the best choice for GPU acceleration.

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Matthew

1 months ago

I'm not sure, but I think AN36P nodes could also be a good option for the company's requirements.

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Raymon

1 months ago

I agree with Dolores, g4dn.metal nodes are the best option for bursting VDI resources to the AWS cloud with GPU acceleration.

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Melvin

1 months ago

Personally, I'm leaning towards A) AN36P nodes. They seem to be designed for Nutanix NC2, so they might be the best fit.

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Louvenia

1 months ago

Hmm, I'm not sure. B) m6g.metal nodes sound interesting, but I'm not convinced they have the necessary GPU power.

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Whitney

3 days ago

Ahmad: I don't think AN36P nodes have the necessary GPU acceleration for VDI workloads.

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Rosalyn

4 days ago

User 3: What about A) AN36P nodes? Do they have GPU power?

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Ahmad

17 days ago

User 2: I agree, g4dn.metal nodes are designed for graphics-intensive workloads.

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Frankie

27 days ago

User 1: I think C) g4dn.metal nodes might be the best option for GPU acceleration.

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Dolores

1 months ago

I think the solution that meets the company's requirements is C) g4dn.metal nodes because they provide GPU acceleration.

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My

1 months ago

I think the answer is C) g4dn.metal nodes. They have GPU acceleration, which is what the VDI workloads require.

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Dallas

12 days ago

C) g4dn.metal nodes are definitely the solution that meets the company's requirements for VDI workloads.

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Adelina

14 days ago

Yes, C) g4dn.metal nodes are the best option for bursting VDI resources to AWS with GPU acceleration.

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Glen

1 months ago

I agree, C) g4dn.metal nodes have GPU acceleration for VDI workloads.

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