Q: 1
You are tasked with transforming a traditional data center into an AI-optimized data center using
NVIDIA DPUs (Data Processing Units). One of your goals is to offload network and storage processing
tasks from the CPU to the DPU to enhance performance and reduce latency. Which scenario best
illustrates the advantage of using DPUs in this transformation?
Options
Discussion
I actually think C makes sense here, since parallel data processing sounds like a DPU benefit. C. But maybe it's a trap since DPUs mainly offload network/storage, right?
C or A
I get why C looks tempting since it mentions parallel processing, but DPUs are really made for network/storage offload like in A. They handle things like encryption and traffic so CPUs can do more AI. Pretty sure A is what NVIDIA pushes in their docs, but open to debate if anyone's seen something different.
A
A, but does the question mean "best" in terms of performance gain or overall system resource efficiency? If they're asking about direct AI computation offload, that might throw it, but otherwise C is a common trap here.
Be respectful. No spam.
