Looking for RAG Interview Questions Related to NVIDIA's Tech Stack

AI & Data Science Deep Learning (Training & Inference)
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Hi everyone,

I’m currently preparing for interviews that involve Retrieval-Augmented Generation (RAG) and was wondering if anyone here has come across any RAG interview questions that are specifically tied to NVIDIA’s tools or frameworks. For example, questions that might involve Triton Inference Server, TensorRT, or even NVIDIA NeMo in the context of deploying or optimizing RAG pipelines.

It would be super helpful to see examples of what companies are asking—especially when it comes to performance tuning, model deployment, or GPU utilization in RAG systems. If anyone has insights, sample questions, or even real interview experiences to share, I’d greatly appreciate it!

Thanks in advance!

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