← NVIDIA-Certified Associate AI Infrastructure and Operations
NVIDIA · objective · 38% of the exam
Essential AI Knowledge — NVIDIA-Certified Associate AI Infrastructure and Operations
The official NVIDIA documentation our Essential AI Knowledge practice questions are cited to. Review the primary sources, then practise.
Official references for this objective
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Nvidia — NVIDIA NGC | NVIDIA
Software from the NGC catalog runs on bare-metal servers, Kubernetes, or on virtualized environments and can be deployed on premises, in the cloud, or at
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Nvidia — NVIDIA AI Enterprise | Cloud-native Software Platform | NVIDIA
Connect AI applications to multimodal enterprise data with a retrieval-augmented generation (RAG) pipeline built on NIM microservices for scalable data extraction and accurate information retrieval
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Nvidia — Data Center Solutions: AI Factories | NVIDIA
AI factories unify five critical layers—energy, chips, infrastructure, models, and applications—into a system designed for the demands of agentic AI
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Nvidia — GPU Accelerated Solutions for Data Science | NVIDIA
With NVIDIA AI software, including RAPIDS™ open-source software libraries, GPUs substantially reduce infrastructure costs and provide superior performance for end-to-end data science workflows
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Nvidia — AI Solutions for Enterprises | NVIDIA
Biomolecular generative models and the computational power of GPUs efficiently explore the chemical space, rapidly generating diverse sets of small molecules tailored to specific drug
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Nvidia — Accelerate AI & Machine Learning Workflows | NVIDIA Run:ai
By fractionally allocating GPUs across inference, embedding, and generation tasks, organizations can run more models in parallel without resource contention.
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Nvidia — Data Centers Built for Advanced AI Reasoning | NVIDIA
By delivering breakthrough performance with fewer servers, resulting in faster insights and dramatically lower costs, the NVIDIA data center platform paves the way to scientific
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Nvidia — Build Agentic AI with Multimodal Foundation Models | NVIDIA Nemotron
Nemotron models excel in a range of agentic AI tasks, including reasoning, multimodal vision , retrieval-augmented generation (RAG) , speech , and safety .
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Nvidia — Tools for AI Workstations | NVIDIA
Hybrid-RAG for rapid prototyping: Run embedding locally and inference locally or in the cloud with NVIDIA NIM™ or an NVIDIA API.