Nutanix NCP-CI-AWS Exam - 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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Karl

7 months ago

Totally agree, C is the way to go for this scenario!

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Stanford

7 months ago

Wait, are we sure g4dn.metal is the right fit? Seems too good to be true.

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Lillian

8 months ago

Definitely going with C, it’s optimized for VDI workloads.

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Xochitl

8 months ago

I think A could work too, but not sure about the GPU part.

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Nathan

8 months ago

C is the best choice for GPU acceleration!

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William

8 months ago

I feel like the m6g.metal nodes are more for general compute tasks, so they probably wouldn’t meet the GPU requirement.

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Herschel

9 months ago

I practiced a similar question before, and I think AN36P nodes might not have the GPU capabilities we need for VDI.

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Victor

9 months ago

I’m a bit unsure, but I think the g4dn.metal nodes might be the right choice since they are designed for graphics-intensive applications.

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Jaclyn

9 months ago

I remember that GPU acceleration is crucial for VDI workloads, so I think we need to look for nodes that specifically support that.

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Tiffiny

9 months ago

Hmm, this is a tricky one. The GPU acceleration requirement is the critical factor here. I'll need to carefully evaluate each of the options to determine which one provides the necessary GPU capabilities.

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Suzi

9 months ago

I'm a bit unsure about this one. The Nutanix and AWS integration is not something I'm super familiar with. I'll need to review the details of the Nutanix NC2 and AWS instance types to make an informed decision.

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Krystina

9 months ago

Alright, this seems straightforward. The key is identifying the AWS instance type that supports GPU acceleration. I'll need to review the AWS instance options to determine the best fit.

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Portia

9 months ago

Okay, let's see. The question is asking about the right solution for the company's requirements. I'll need to consider the options and figure out which one best meets the GPU acceleration need.

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Mabel

9 months ago

Hmm, this looks like a question about Nutanix and AWS cloud bursting for VDI workloads. I'll need to think carefully about the GPU acceleration requirement.

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Angelica

2 years 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

2 years ago

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

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Reuben

2 years ago

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

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Dominga

2 years ago

C) g4dn.metal nodes

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Darrel

2 years 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

2 years ago

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

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Tammara

2 years ago

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

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Walker

2 years ago

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

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Youlanda

2 years ago

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

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Matthew

2 years 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

2 years 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

2 years 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

2 years 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

2 years ago

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

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Rosalyn

2 years ago

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

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Ahmad

2 years ago

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

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Frankie

2 years ago

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

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Dolores

2 years 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

2 years 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

2 years ago

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

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Adelina

2 years ago

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

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Glen

2 years ago

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

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