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NVIDIA-Certified Associate Generative AI Multimodal
A data scientist begins prototyping a generative AI project on a local desktop workstation but anticipates that model training will soon require more compute than the local GPU can provide. Which characteristic of NVIDIA AI Workbench best supports this workflow?
Explanation
Start on your local mobile or desktop workstation and scale out to cloud or data center when more compute is required.
A team wants to rapidly prototype a RAG-powered chatbot where the embedding step runs locally, but inference can be performed either locally or in the cloud. Which AI Workbench chatbot approach directly matches this requirement?
Explanation
Hybrid-RAG for rapid prototyping: Run embedding locally and inference locally or in the cloud with NVIDIA NIM™ or an NVIDIA API.
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