Q: 5
Which NVIDIA solution is specifically designed to accelerate data analytics and machine learning
workloads, allowing data scientists to build and deploy models at scale using GPUs?
Options
Discussion
C . RAPIDS is the GPU-accelerated library suite aimed at analytics and ML workloads, matches what the question wants. Similar focus was mentioned in official guides and practice tests.
C . RAPIDS is the GPU-accelerated software stack specifically made for data analytics and ML scaling, not just the hardware or dev kits. Pretty sure that's what they're looking for since CUDA and DGX A100 are more general. Agree?
For me, C. I've seen similar questions in some official practice tests, and RAPIDS is always mentioned as the GPU-accelerated toolkit for analytics and ML. If you're unsure, checking the latest official guide section on data science solutions might help.
C over D here. RAPIDS is the software suite made for data analytics and ML acceleration with GPUs. D (DGX A100) is hardware, but question wants a specific solution for workloads, not just infra. Pretty sure about C unless I missed a trick in the wording.
I don't think D fits here, since DGX A100 is hardware and the question wants a software suite. C is correct.
Its C for sure. RAPIDS is the actual NVIDIA software library that accelerates analytics and ML with GPUs, not just the hardware stack. Pretty confident on this unless there's a recent rebrand I'm missing.
Gotta be C, that's RAPIDS for GPU-powered data analytics and ML apps.
C for me since RAPIDS is the GPU-accelerated toolkit made for analytics and ML, not just basic GPU programming like CUDA. DGX A100 is hardware, which doesn't fit the 'solution' phrasing in the question. Pretty confident but if someone sees it differently let me know.
C tbh, since RAPIDS is the actual software suite built for GPU-accelerated analytics and ML. People mix up DGX A100 (D) because it's powerful hardware, but the question asks about a solution for building and deploying models, not just the infra to run them. Tricky wording but pretty sure it's C-open to pushback though if I'm missing something.
C
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