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

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

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?

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

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36 comments · newest first
KA
Karl 11 months ago
Totally agree, C is the way to go for this scenario!
ST
Stanford 11 months ago
Wait, are we sure g4dn.metal is the right fit? Seems too good to be true.
LI
Lillian 12 months ago
Definitely going with C, it’s optimized for VDI workloads.
XO
Xochitl 12 months ago
I think A could work too, but not sure about the GPU part.
NA
Nathan 1 year ago
C is the best choice for GPU acceleration!
WI
William 1 year ago
I feel like the m6g.metal nodes are more for general compute tasks, so they probably wouldn’t meet the GPU requirement.
HE
Herschel 1 year ago
I practiced a similar question before, and I think AN36P nodes might not have the GPU capabilities we need for VDI.
VI
Victor 1 year 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.
JA
Jaclyn 1 year ago
I remember that GPU acceleration is crucial for VDI workloads, so I think we need to look for nodes that specifically support that.
TI
Tiffiny 1 year 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.
SU
Suzi 1 year 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.
KR
Krystina 1 year 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.
PO
Portia 1 year 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.
MA
Mabel 1 year 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.
AN
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!
WI
William 2 years ago
↳ replying to Angelica
Agreed, the g4dn.metal nodes are specifically designed for GPU workloads.
RE
Reuben 2 years ago
↳ replying to Angelica
I think option C) g4dn.metal nodes would be the best choice for GPU acceleration.
DO
Dominga 2 years ago
↳ replying to Angelica
C) g4dn.metal nodes
DA
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.
CO
Colby 2 years ago
↳ replying to Darrel
You're right, D) AN36 nodes would probably integrate better with the existing Nutanix ecosystem.
TA
Tammara 2 years ago
↳ replying to Darrel
But wouldn't AN36 nodes be more compatible with Nutanix NC2?
WA
Walker 2 years ago
↳ replying to Darrel
I agree, those nodes are specifically designed for graphics-intensive workloads.
YO
Youlanda 2 years ago
↳ replying to Darrel
I think C) g4dn.metal nodes would be the best choice for GPU acceleration.
MA
Matthew 2 years ago
I'm not sure, but I think AN36P nodes could also be a good option for the company's requirements.
RA
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.
ME
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.
LO
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.
WH
Whitney 2 years ago
↳ replying to Louvenia
Ahmad: I don't think AN36P nodes have the necessary GPU acceleration for VDI workloads.
RO
Rosalyn 2 years ago
↳ replying to Louvenia
User 3: What about A) AN36P nodes? Do they have GPU power?
AH
Ahmad 2 years ago
↳ replying to Louvenia
User 2: I agree, g4dn.metal nodes are designed for graphics-intensive workloads.
FR
Frankie 2 years ago
↳ replying to Louvenia
User 1: I think C) g4dn.metal nodes might be the best option for GPU acceleration.
DO
Dolores 2 years ago
I think the solution that meets the company's requirements is C) g4dn.metal nodes because they provide GPU acceleration.
MY
My 2 years ago
I think the answer is C) g4dn.metal nodes. They have GPU acceleration, which is what the VDI workloads require.
DA
Dallas 2 years ago
↳ replying to My
C) g4dn.metal nodes are definitely the solution that meets the company's requirements for VDI workloads.
AD
Adelina 2 years ago
↳ replying to My
Yes, C) g4dn.metal nodes are the best option for bursting VDI resources to AWS with GPU acceleration.
GL
Glen 2 years ago
↳ replying to My
I agree, C) g4dn.metal nodes have GPU acceleration for VDI workloads.
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