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You are creating a FlexPod with a significant AI workload and would like to use NVIDIA's SXM2-based GPUs.
Which Cisco UCS server would you use in this scenario?
Suggested Answer: C
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12 comments · newest first
TO
Tonette
11 months ago
C125 M5? Really? That seems too low-end for AI tasks.
MO
Moira
12 months ago
Wait, are you sure about C480? I thought it was overkill.
ME
Meghann
12 months ago
Definitely going with C240 M5, solid option!
SH
Shantell
12 months ago
I think B200 M5 could work too, but not ideal.
ER
Ernest
1 year ago
C480 ML M5 is the best choice for AI workloads!
EL
Elke
1 year ago
The C480 ML M5 definitely stands out for AI workloads. I recall it being optimized for machine learning tasks, so I think that's the right choice here.
KA
Kara
1 year ago
I practiced a similar question about UCS servers and GPU compatibility. I feel like the C240 M5 was mentioned a lot, but I don't think it supports SXM2.
JA
Jamal
1 year ago
I remember studying the UCS models, but I'm not entirely sure which one supports SXM2 GPUs. I think it might be the C480 ML M5, but I could be wrong.
VE
Venita
1 year ago
I’m a bit confused about the differences between the C240 and C480 models. I feel like I need to double-check which one is really meant for heavy GPU tasks.
AR
Arlene
1 year ago
I think this is a pretty straightforward question about just-in-time production. The key is to understand when the upstream production is triggered, which is likely based on the inventory level or downstream demand.
YU
Yuette
1 year ago
Okay, I think I've got this. Based on the information provided, the group I should use to create the new team is Group2. The question specifically states that the new team should be created using the Microsoft Teams client, and Group2 seems to be the only group that would allow that.
HY
Hyman
1 year ago
This looks like a tricky one. I'll need to carefully step through the code to figure out the output.